Overview

Dataset statistics

Number of variables128
Number of observations555033
Missing cells6603038
Missing cells (%)9.3%
Total size in memory534.6 MiB
Average record size in memory1010.0 B

Variable types

Categorical12
Boolean2
Numeric114

Alerts

hospital_pk has a high cardinality: 5090 distinct values High cardinality
collection_week has a high cardinality: 111 distinct values High cardinality
state has a high cardinality: 56 distinct values High cardinality
ccn has a high cardinality: 5066 distinct values High cardinality
hospital_name has a high cardinality: 4950 distinct values High cardinality
address has a high cardinality: 5032 distinct values High cardinality
city has a high cardinality: 2942 distinct values High cardinality
zip has a high cardinality: 4473 distinct values High cardinality
fips_code has a high cardinality: 2478 distinct values High cardinality
geocoded_hospital_address has a high cardinality: 4636 distinct values High cardinality
hhs_ids has a high cardinality: 5044 distinct values High cardinality
total_beds_7_day_avg has 68559 (12.4%) missing values Missing
all_adult_hospital_beds_7_day_avg has 75138 (13.5%) missing values Missing
all_adult_hospital_inpatient_beds_7_day_avg has 5585 (1.0%) missing values Missing
total_staffed_adult_icu_beds_7_day_avg has 7027 (1.3%) missing values Missing
staffed_adult_icu_bed_occupancy_7_day_avg has 5787 (1.0%) missing values Missing
total_patients_hospitalized_confirmed_influenza_7_day_avg has 83232 (15.0%) missing values Missing
icu_patients_confirmed_influenza_7_day_avg has 83473 (15.0%) missing values Missing
total_patients_hospitalized_confirmed_influenza_and_covid_7_day_avg has 176217 (31.7%) missing values Missing
total_beds_7_day_sum has 68559 (12.4%) missing values Missing
all_adult_hospital_beds_7_day_sum has 75138 (13.5%) missing values Missing
all_adult_hospital_inpatient_beds_7_day_sum has 5585 (1.0%) missing values Missing
total_staffed_adult_icu_beds_7_day_sum has 7027 (1.3%) missing values Missing
staffed_adult_icu_bed_occupancy_7_day_sum has 5787 (1.0%) missing values Missing
total_patients_hospitalized_confirmed_influenza_7_day_sum has 83232 (15.0%) missing values Missing
icu_patients_confirmed_influenza_7_day_sum has 83473 (15.0%) missing values Missing
total_patients_hospitalized_confirmed_influenza_and_covid_7_day_sum has 176217 (31.7%) missing values Missing
previous_day_admission_adult_covid_confirmed_18-19_7_day_sum has 11457 (2.1%) missing values Missing
previous_day_admission_adult_covid_confirmed_20-29_7_day_sum has 17482 (3.1%) missing values Missing
previous_day_admission_adult_covid_confirmed_30-39_7_day_sum has 17219 (3.1%) missing values Missing
previous_day_admission_adult_covid_confirmed_40-49_7_day_sum has 17033 (3.1%) missing values Missing
previous_day_admission_adult_covid_confirmed_50-59_7_day_sum has 16289 (2.9%) missing values Missing
previous_day_admission_adult_covid_confirmed_60-69_7_day_sum has 15454 (2.8%) missing values Missing
previous_day_admission_adult_covid_confirmed_70-79_7_day_sum has 15248 (2.7%) missing values Missing
previous_day_admission_adult_covid_confirmed_80+_7_day_sum has 17273 (3.1%) missing values Missing
previous_day_admission_adult_covid_confirmed_unknown_7_day_sum has 7550 (1.4%) missing values Missing
previous_day_admission_pediatric_covid_confirmed_7_day_sum has 6976 (1.3%) missing values Missing
previous_day_covid_ED_visits_7_day_sum has 5922 (1.1%) missing values Missing
previous_day_admission_adult_covid_suspected_18-19_7_day_sum has 11615 (2.1%) missing values Missing
previous_day_admission_adult_covid_suspected_20-29_7_day_sum has 17567 (3.2%) missing values Missing
previous_day_admission_adult_covid_suspected_30-39_7_day_sum has 17627 (3.2%) missing values Missing
previous_day_admission_adult_covid_suspected_40-49_7_day_sum has 17426 (3.1%) missing values Missing
previous_day_admission_adult_covid_suspected_50-59_7_day_sum has 17014 (3.1%) missing values Missing
previous_day_admission_adult_covid_suspected_60-69_7_day_sum has 16416 (3.0%) missing values Missing
previous_day_admission_adult_covid_suspected_70-79_7_day_sum has 16566 (3.0%) missing values Missing
previous_day_admission_adult_covid_suspected_80+_7_day_sum has 18746 (3.4%) missing values Missing
previous_day_admission_adult_covid_suspected_unknown_7_day_sum has 7928 (1.4%) missing values Missing
previous_day_admission_pediatric_covid_suspected_7_day_sum has 6755 (1.2%) missing values Missing
previous_day_admission_influenza_confirmed_7_day_sum has 83468 (15.0%) missing values Missing
geocoded_hospital_address has 40500 (7.3%) missing values Missing
previous_week_personnel_covid_vaccinated_doses_administered_7_day has 306172 (55.2%) missing values Missing
total_personnel_covid_vaccinated_doses_none_7_day has 309072 (55.7%) missing values Missing
total_personnel_covid_vaccinated_doses_one_7_day has 308747 (55.6%) missing values Missing
total_personnel_covid_vaccinated_doses_all_7_day has 308333 (55.6%) missing values Missing
previous_week_patients_covid_vaccinated_doses_one_7_day has 307372 (55.4%) missing values Missing
previous_week_patients_covid_vaccinated_doses_all_7_day has 307480 (55.4%) missing values Missing
all_pediatric_inpatient_bed_occupied_7_day_avg has 124247 (22.4%) missing values Missing
all_pediatric_inpatient_bed_occupied_7_day_sum has 124247 (22.4%) missing values Missing
all_pediatric_inpatient_beds_7_day_avg has 126459 (22.8%) missing values Missing
all_pediatric_inpatient_beds_7_day_sum has 126459 (22.8%) missing values Missing
previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum has 384454 (69.3%) missing values Missing
previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum has 392324 (70.7%) missing values Missing
previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum has 392278 (70.7%) missing values Missing
previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum has 386002 (69.5%) missing values Missing
staffed_icu_pediatric_patients_confirmed_covid_7_day_avg has 346618 (62.4%) missing values Missing
staffed_icu_pediatric_patients_confirmed_covid_7_day_sum has 346618 (62.4%) missing values Missing
staffed_pediatric_icu_bed_occupancy_7_day_avg has 126023 (22.7%) missing values Missing
staffed_pediatric_icu_bed_occupancy_7_day_sum has 126023 (22.7%) missing values Missing
total_staffed_pediatric_icu_beds_7_day_avg has 127108 (22.9%) missing values Missing
total_staffed_pediatric_icu_beds_7_day_sum has 127108 (22.9%) missing values Missing
total_beds_7_day_avg is highly skewed (γ1 = -29.36829923) Skewed
all_adult_hospital_beds_7_day_avg is highly skewed (γ1 = -21.4626227) Skewed
total_beds_7_day_sum is highly skewed (γ1 = -97.6961691) Skewed
all_adult_hospital_beds_7_day_sum is highly skewed (γ1 = -79.95308761) Skewed
all_adult_hospital_inpatient_beds_7_day_sum is highly skewed (γ1 = -67.46709847) Skewed
inpatient_beds_7_day_sum is highly skewed (γ1 = -82.45231247) Skewed
total_icu_beds_7_day_sum is highly skewed (γ1 = -20.14853719) Skewed
total_staffed_adult_icu_beds_7_day_sum is highly skewed (γ1 = -20.0205444) Skewed
all_adult_hospital_beds_7_day_avg has 11902 (2.1%) zeros Zeros
all_adult_hospital_inpatient_beds_7_day_avg has 12980 (2.3%) zeros Zeros
inpatient_beds_used_7_day_avg has 7841 (1.4%) zeros Zeros
all_adult_hospital_inpatient_bed_occupied_7_day_avg has 16897 (3.0%) zeros Zeros
inpatient_beds_used_covid_7_day_avg has 137810 (24.8%) zeros Zeros
total_adult_patients_hospitalized_confirmed_and_suspected_covid_7_day_avg has 142123 (25.6%) zeros Zeros
total_adult_patients_hospitalized_confirmed_covid_7_day_avg has 156019 (28.1%) zeros Zeros
total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_7_day_avg has 478115 (86.1%) zeros Zeros
total_pediatric_patients_hospitalized_confirmed_covid_7_day_avg has 501214 (90.3%) zeros Zeros
total_icu_beds_7_day_avg has 187582 (33.8%) zeros Zeros
total_staffed_adult_icu_beds_7_day_avg has 193413 (34.8%) zeros Zeros
icu_beds_used_7_day_avg has 204552 (36.9%) zeros Zeros
staffed_adult_icu_bed_occupancy_7_day_avg has 209309 (37.7%) zeros Zeros
staffed_icu_adult_patients_confirmed_and_suspected_covid_7_day_avg has 277382 (50.0%) zeros Zeros
staffed_icu_adult_patients_confirmed_covid_7_day_avg has 289190 (52.1%) zeros Zeros
total_patients_hospitalized_confirmed_influenza_7_day_avg has 414263 (74.6%) zeros Zeros
icu_patients_confirmed_influenza_7_day_avg has 456236 (82.2%) zeros Zeros
total_patients_hospitalized_confirmed_influenza_and_covid_7_day_avg has 366124 (66.0%) zeros Zeros
all_adult_hospital_beds_7_day_sum has 11902 (2.1%) zeros Zeros
all_adult_hospital_inpatient_beds_7_day_sum has 12980 (2.3%) zeros Zeros
inpatient_beds_used_7_day_sum has 7841 (1.4%) zeros Zeros
all_adult_hospital_inpatient_bed_occupied_7_day_sum has 16897 (3.0%) zeros Zeros
inpatient_beds_used_covid_7_day_sum has 137810 (24.8%) zeros Zeros
total_adult_patients_hospitalized_confirmed_and_suspected_covid_7_day_sum has 142123 (25.6%) zeros Zeros
total_adult_patients_hospitalized_confirmed_covid_7_day_sum has 156019 (28.1%) zeros Zeros
total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_7_day_sum has 478115 (86.1%) zeros Zeros
total_pediatric_patients_hospitalized_confirmed_covid_7_day_sum has 501214 (90.3%) zeros Zeros
total_icu_beds_7_day_sum has 187582 (33.8%) zeros Zeros
total_staffed_adult_icu_beds_7_day_sum has 193413 (34.8%) zeros Zeros
icu_beds_used_7_day_sum has 204552 (36.9%) zeros Zeros
staffed_adult_icu_bed_occupancy_7_day_sum has 209309 (37.7%) zeros Zeros
staffed_icu_adult_patients_confirmed_and_suspected_covid_7_day_sum has 277382 (50.0%) zeros Zeros
staffed_icu_adult_patients_confirmed_covid_7_day_sum has 289190 (52.1%) zeros Zeros
total_patients_hospitalized_confirmed_influenza_7_day_sum has 414263 (74.6%) zeros Zeros
icu_patients_confirmed_influenza_7_day_sum has 456236 (82.2%) zeros Zeros
total_patients_hospitalized_confirmed_influenza_and_covid_7_day_sum has 366124 (66.0%) zeros Zeros
total_beds_7_day_coverage has 68559 (12.4%) zeros Zeros
all_adult_hospital_beds_7_day_coverage has 75138 (13.5%) zeros Zeros
all_adult_hospital_inpatient_beds_7_day_coverage has 5585 (1.0%) zeros Zeros
total_staffed_adult_icu_beds_7_day_coverage has 7027 (1.3%) zeros Zeros
staffed_adult_icu_bed_occupancy_7_day_coverage has 5787 (1.0%) zeros Zeros
total_patients_hospitalized_confirmed_influenza_7_day_coverage has 83232 (15.0%) zeros Zeros
icu_patients_confirmed_influenza_7_day_coverage has 83473 (15.0%) zeros Zeros
total_patients_hospitalized_confirmed_influenza_and_covid_7_day_coverage has 176217 (31.7%) zeros Zeros
previous_day_admission_adult_covid_confirmed_7_day_sum has 199895 (36.0%) zeros Zeros
previous_day_admission_adult_covid_confirmed_18-19_7_day_sum has 520415 (93.8%) zeros Zeros
previous_day_admission_adult_covid_confirmed_20-29_7_day_sum has 423784 (76.4%) zeros Zeros
previous_day_admission_adult_covid_confirmed_30-39_7_day_sum has 396449 (71.4%) zeros Zeros
previous_day_admission_adult_covid_confirmed_40-49_7_day_sum has 378872 (68.3%) zeros Zeros
previous_day_admission_adult_covid_confirmed_50-59_7_day_sum has 339083 (61.1%) zeros Zeros
previous_day_admission_adult_covid_confirmed_60-69_7_day_sum has 311516 (56.1%) zeros Zeros
previous_day_admission_adult_covid_confirmed_70-79_7_day_sum has 309356 (55.7%) zeros Zeros
previous_day_admission_adult_covid_confirmed_80+_7_day_sum has 319054 (57.5%) zeros Zeros
previous_day_admission_adult_covid_confirmed_unknown_7_day_sum has 527141 (95.0%) zeros Zeros
previous_day_admission_pediatric_covid_confirmed_7_day_sum has 506262 (91.2%) zeros Zeros
previous_day_covid_ED_visits_7_day_sum has 118533 (21.4%) zeros Zeros
previous_day_admission_adult_covid_suspected_7_day_sum has 348148 (62.7%) zeros Zeros
previous_day_admission_adult_covid_suspected_18-19_7_day_sum has 523580 (94.3%) zeros Zeros
previous_day_admission_adult_covid_suspected_20-29_7_day_sum has 468521 (84.4%) zeros Zeros
previous_day_admission_adult_covid_suspected_30-39_7_day_sum has 455295 (82.0%) zeros Zeros
previous_day_admission_adult_covid_suspected_40-49_7_day_sum has 449256 (80.9%) zeros Zeros
previous_day_admission_adult_covid_suspected_50-59_7_day_sum has 428391 (77.2%) zeros Zeros
previous_day_admission_adult_covid_suspected_60-69_7_day_sum has 413986 (74.6%) zeros Zeros
previous_day_admission_adult_covid_suspected_70-79_7_day_sum has 413943 (74.6%) zeros Zeros
previous_day_admission_adult_covid_suspected_80+_7_day_sum has 417982 (75.3%) zeros Zeros
previous_day_admission_adult_covid_suspected_unknown_7_day_sum has 533321 (96.1%) zeros Zeros
previous_day_admission_pediatric_covid_suspected_7_day_sum has 504285 (90.9%) zeros Zeros
previous_day_total_ED_visits_7_day_sum has 68271 (12.3%) zeros Zeros
previous_day_admission_influenza_confirmed_7_day_sum has 435831 (78.5%) zeros Zeros
previous_day_admission_pediatric_covid_confirmed_7_day_coverage has 6976 (1.3%) zeros Zeros
previous_day_admission_pediatric_covid_suspected_7_day_coverage has 6755 (1.2%) zeros Zeros
previous_week_personnel_covid_vaccinated_doses_administered_7_day has 166443 (30.0%) zeros Zeros
total_personnel_covid_vaccinated_doses_none_7_day has 65309 (11.8%) zeros Zeros
total_personnel_covid_vaccinated_doses_one_7_day has 86108 (15.5%) zeros Zeros
total_personnel_covid_vaccinated_doses_all_7_day has 57479 (10.4%) zeros Zeros
previous_week_patients_covid_vaccinated_doses_one_7_day has 183420 (33.0%) zeros Zeros
previous_week_patients_covid_vaccinated_doses_all_7_day has 185160 (33.4%) zeros Zeros
all_pediatric_inpatient_bed_occupied_7_day_avg has 296239 (53.4%) zeros Zeros
all_pediatric_inpatient_bed_occupied_7_day_coverage has 124247 (22.4%) zeros Zeros
all_pediatric_inpatient_bed_occupied_7_day_sum has 296239 (53.4%) zeros Zeros
all_pediatric_inpatient_beds_7_day_avg has 293562 (52.9%) zeros Zeros
all_pediatric_inpatient_beds_7_day_coverage has 126459 (22.8%) zeros Zeros
all_pediatric_inpatient_beds_7_day_sum has 293562 (52.9%) zeros Zeros
previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum has 160504 (28.9%) zeros Zeros
previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum has 156181 (28.1%) zeros Zeros
previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum has 157574 (28.4%) zeros Zeros
previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum has 166367 (30.0%) zeros Zeros
staffed_icu_pediatric_patients_confirmed_covid_7_day_avg has 200379 (36.1%) zeros Zeros
staffed_icu_pediatric_patients_confirmed_covid_7_day_coverage has 346618 (62.4%) zeros Zeros
staffed_icu_pediatric_patients_confirmed_covid_7_day_sum has 200379 (36.1%) zeros Zeros
staffed_pediatric_icu_bed_occupancy_7_day_avg has 364745 (65.7%) zeros Zeros
staffed_pediatric_icu_bed_occupancy_7_day_coverage has 126023 (22.7%) zeros Zeros
staffed_pediatric_icu_bed_occupancy_7_day_sum has 364745 (65.7%) zeros Zeros
total_staffed_pediatric_icu_beds_7_day_avg has 361512 (65.1%) zeros Zeros
total_staffed_pediatric_icu_beds_7_day_coverage has 127108 (22.9%) zeros Zeros
total_staffed_pediatric_icu_beds_7_day_sum has 361512 (65.1%) zeros Zeros

Reproduction

Analysis started2022-10-26 07:03:56.793788
Analysis finished2022-10-26 07:04:05.752277
Duration8.96 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

hospital_pk
Categorical

HIGH CARDINALITY

Distinct5090
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
370014
 
111
160112
 
111
50348
 
111
300018
 
111
50367
 
111
Other values (5085)
554478 

Unique

Unique9 ?
Unique (%)< 0.1%

Sample

1st row50742
2nd row360362
3rd row50028
4th row100106
5th row110190

Common Values

ValueCountFrequency (%)
370014111
 
< 0.1%
160112111
 
< 0.1%
50348111
 
< 0.1%
300018111
 
< 0.1%
50367111
 
< 0.1%
420065111
 
< 0.1%
390013111
 
< 0.1%
523300111
 
< 0.1%
372019111
 
< 0.1%
63303111
 
< 0.1%
Other values (5080)553923
99.8%

collection_week
Categorical

HIGH CARDINALITY

Distinct111
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
2020-12-11
 
5022
2020-12-25
 
5022
2021-01-01
 
5021
2021-02-26
 
5020
2021-01-22
 
5020
Other values (106)
529928 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-09
2nd row2022-09-09
3rd row2022-09-02
4th row2022-09-02
5th row2022-09-02

Common Values

ValueCountFrequency (%)
2020-12-115022
 
0.9%
2020-12-255022
 
0.9%
2021-01-015021
 
0.9%
2021-02-265020
 
0.9%
2021-01-225020
 
0.9%
2020-12-185020
 
0.9%
2021-01-155019
 
0.9%
2021-03-055019
 
0.9%
2021-02-125019
 
0.9%
2021-04-305019
 
0.9%
Other values (101)504832
91.0%

state
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
TX
49626 
CA
 
39190
FL
 
22803
OH
 
20360
IL
 
19890
Other values (51)
403164 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCA
2nd rowOH
3rd rowCA
4th rowFL
5th rowGA

Common Values

ValueCountFrequency (%)
TX49626
 
8.9%
CA39190
 
7.1%
FL22803
 
4.1%
OH20360
 
3.7%
IL19890
 
3.6%
PA19516
 
3.5%
NY18103
 
3.3%
LA16157
 
2.9%
GA15820
 
2.9%
MI15730
 
2.8%
Other values (46)317838
57.3%

ccn
Categorical

HIGH CARDINALITY

Distinct5066
Distinct (%)0.9%
Missing999
Missing (%)0.2%
Memory size4.2 MiB
50515
 
222
63303
 
111
50348
 
111
300018
 
111
50367
 
111
Other values (5061)
553368 

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st row50742
2nd row360362
3rd row50028
4th row100106
5th row110190

Common Values

ValueCountFrequency (%)
50515222
 
< 0.1%
63303111
 
< 0.1%
50348111
 
< 0.1%
300018111
 
< 0.1%
50367111
 
< 0.1%
420065111
 
< 0.1%
390013111
 
< 0.1%
523300111
 
< 0.1%
372019111
 
< 0.1%
520041111
 
< 0.1%
Other values (5056)552813
99.6%
(Missing)999
 
0.2%

hospital_name
Categorical

HIGH CARDINALITY

Distinct4950
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
MEMORIAL HOSPITAL
 
1434
SHRINERS HOSPITALS FOR CHILDREN
 
555
MEMORIAL MEDICAL CENTER
 
553
COMMUNITY MEMORIAL HOSPITAL
 
553
ST JOSEPH MEDICAL CENTER
 
444
Other values (4945)
551494 

Unique

Unique9 ?
Unique (%)< 0.1%

Sample

1st rowOLYMPIA MEDICAL CENTER
2nd rowTRIHEALTH EVENDALE HOSPITAL
3rd rowMAD RIVER COMMUNITY HOSPITAL
4th rowDOCTORS MEMORIAL HOSPITAL INC
5th rowFLINT RIVER COMMUNITY HOSPITAL

Common Values

ValueCountFrequency (%)
MEMORIAL HOSPITAL1434
 
0.3%
SHRINERS HOSPITALS FOR CHILDREN555
 
0.1%
MEMORIAL MEDICAL CENTER553
 
0.1%
COMMUNITY MEMORIAL HOSPITAL553
 
0.1%
ST JOSEPH MEDICAL CENTER444
 
0.1%
MERCY MEDICAL CENTER444
 
0.1%
HOLY CROSS HOSPITAL444
 
0.1%
ST JOSEPH HOSPITAL444
 
0.1%
ST MARY MEDICAL CENTER444
 
0.1%
ST LUKES HOSPITAL444
 
0.1%
Other values (4940)549274
99.0%

address
Categorical

HIGH CARDINALITY

Distinct5032
Distinct (%)0.9%
Missing311
Missing (%)0.1%
Memory size4.2 MiB
100 HOSPITAL DRIVE
 
887
1 MEDICAL CENTER DRIVE
 
444
100 MEDICAL CENTER DRIVE
 
444
200 HOSPITAL DRIVE
 
441
ONE HOSPITAL DRIVE
 
333
Other values (5027)
552173 

Unique

Unique8 ?
Unique (%)< 0.1%

Sample

1st row5900 WEST OLYMPIC BOULEVARD
2nd row3155 GLENDALE MILFORD ROAD
3rd row3800 JANES RD
4th row333 N BYRON BUTLER PKWY
5th row509 SUMTER STREET, BOX 770

Common Values

ValueCountFrequency (%)
100 HOSPITAL DRIVE887
 
0.2%
1 MEDICAL CENTER DRIVE444
 
0.1%
100 MEDICAL CENTER DRIVE444
 
0.1%
200 HOSPITAL DRIVE441
 
0.1%
ONE HOSPITAL DRIVE333
 
0.1%
609 WEST MAPLE AVENUE222
 
< 0.1%
125 HOSPITAL DRIVE222
 
< 0.1%
ONE SAINT JOSEPH DRIVE222
 
< 0.1%
1001 TOWSON AVENUE222
 
< 0.1%
4000 MIAMISBURG-CENTERVILLE ROAD222
 
< 0.1%
Other values (5022)551063
99.3%
(Missing)311
 
0.1%

city
Categorical

HIGH CARDINALITY

Distinct2942
Distinct (%)0.5%
Missing311
Missing (%)0.1%
Memory size4.2 MiB
CHICAGO
 
3302
HOUSTON
 
3274
COLUMBUS
 
2433
DALLAS
 
2330
LOS ANGELES
 
2156
Other values (2937)
541227 

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowLOS ANGELES
2nd rowCINCINNATI
3rd rowARCATA
4th rowPERRY
5th rowMONTEZUMA

Common Values

ValueCountFrequency (%)
CHICAGO3302
 
0.6%
HOUSTON3274
 
0.6%
COLUMBUS2433
 
0.4%
DALLAS2330
 
0.4%
LOS ANGELES2156
 
0.4%
OKLAHOMA CITY2080
 
0.4%
PHILADELPHIA2034
 
0.4%
LAS VEGAS1992
 
0.4%
SAN ANTONIO1885
 
0.3%
WASHINGTON1879
 
0.3%
Other values (2932)531357
95.7%

zip
Categorical

HIGH CARDINALITY

Distinct4473
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
77030.0
 
888
79902.0
 
666
39301.0
 
666
76104.0
 
654
72205.0
 
555
Other values (4468)
551604 

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row90036.0
2nd row45241.0
3rd row95521.0
4th row32348.0
5th row31063.0

Common Values

ValueCountFrequency (%)
77030.0888
 
0.2%
79902.0666
 
0.1%
39301.0666
 
0.1%
76104.0654
 
0.1%
72205.0555
 
0.1%
75701.0555
 
0.1%
73120.0551
 
0.1%
96001.0444
 
0.1%
77598.0444
 
0.1%
63110.0444
 
0.1%
Other values (4463)549166
98.9%

hospital_subtype
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
Short Term
357696 
Critical Access Hospitals
148760 
Long Term
38071 
Childrens Hospitals
 
10506

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowShort Term
2nd rowShort Term
3rd rowShort Term
4th rowShort Term
5th rowShort Term

Common Values

ValueCountFrequency (%)
Short Term357696
64.4%
Critical Access Hospitals148760
26.8%
Long Term38071
 
6.9%
Childrens Hospitals10506
 
1.9%

Category Frequency Plot

2022-10-26T03:04:06.004968image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

fips_code
Categorical

HIGH CARDINALITY

Distinct2478
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
6037.0
 
9370
17031.0
 
5522
48201.0
 
5012
4013.0
 
4391
48113.0
 
3440
Other values (2473)
527298 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row6037.0
2nd row39061.0
3rd row6023.0
4th row12123.0
5th row13193.0

Common Values

ValueCountFrequency (%)
6037.09370
 
1.7%
17031.05522
 
1.0%
48201.05012
 
0.9%
4013.04391
 
0.8%
48113.03440
 
0.6%
6059.03108
 
0.6%
48439.03047
 
0.5%
32003.02658
 
0.5%
40109.02631
 
0.5%
12086.02439
 
0.4%
Other values (2468)513415
92.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size542.1 KiB
True
436058 
False
118975 
ValueCountFrequency (%)
True436058
78.6%
False118975
 
21.4%
2022-10-26T03:04:06.253122image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

total_beds_7_day_avg
Real number (ℝ)

MISSING
SKEWED

Distinct9766
Distinct (%)2.0%
Missing68559
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean-990.7904768
Minimum-999999
Maximum5015.4
Zeros4379
Zeros (%)0.8%
Negative562
Negative (%)0.1%
Memory size4.2 MiB
2022-10-26T03:04:06.498916image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile12
Q128
median70
Q3219
95-th percentile601
Maximum5015.4
Range1005014.4
Interquartile range (IQR)191

Descriptive statistics

Standard deviation33975.74758
Coefficient of variation (CV)-34.29155646
Kurtosis860.5412049
Mean-990.7904768
Median Absolute Deviation (MAD)52
Skewness-29.36829923
Sum-481993806.4
Variance1154351423
MonotonicityNot monotonic
2022-10-26T03:04:06.865551image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2523689
 
4.3%
306941
 
1.3%
205872
 
1.1%
355480
 
1.0%
105002
 
0.9%
124897
 
0.9%
324822
 
0.9%
154401
 
0.8%
04379
 
0.8%
164356
 
0.8%
Other values (9756)416635
75.1%
(Missing)68559
 
12.4%
ValueCountFrequency (%)
-999999562
 
0.1%
04379
0.8%
41010
 
0.2%
4.131
 
< 0.1%
4.23
 
< 0.1%
ValueCountFrequency (%)
5015.41
< 0.1%
45191
< 0.1%
4415.41
< 0.1%
41342
< 0.1%
4043.11
< 0.1%

all_adult_hospital_beds_7_day_avg
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct8956
Distinct (%)1.9%
Missing75138
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean-2008.743024
Minimum-999999
Maximum4780
Zeros11902
Zeros (%)2.1%
Negative1035
Negative (%)0.2%
Memory size4.2 MiB
2022-10-26T03:04:07.161074image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile9.3
Q125
median64
Q3197
95-th percentile542
Maximum4780
Range1004779
Interquartile range (IQR)172

Descriptive statistics

Standard deviation46397.75355
Coefficient of variation (CV)-23.09790401
Kurtosis458.6553123
Mean-2008.743024
Median Absolute Deviation (MAD)47.9
Skewness-21.4626227
Sum-963985733.7
Variance2152751535
MonotonicityNot monotonic
2022-10-26T03:04:07.480374image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2521934
 
4.0%
011902
 
2.1%
306393
 
1.2%
205959
 
1.1%
105171
 
0.9%
125090
 
0.9%
354800
 
0.9%
324476
 
0.8%
154455
 
0.8%
164358
 
0.8%
Other values (8946)405357
73.0%
(Missing)75138
 
13.5%
ValueCountFrequency (%)
-9999991035
 
0.2%
011902
2.1%
4989
 
0.2%
4.150
 
< 0.1%
4.26
 
< 0.1%
ValueCountFrequency (%)
47801
< 0.1%
39872
< 0.1%
3896.11
< 0.1%
38811
< 0.1%
3875.91
< 0.1%

all_adult_hospital_inpatient_beds_7_day_avg
Real number (ℝ)

MISSING
ZEROS

Distinct8456
Distinct (%)1.5%
Missing5585
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean-5333.759241
Minimum-999999
Maximum2875.4
Zeros12980
Zeros (%)2.3%
Negative3000
Negative (%)0.5%
Memory size4.2 MiB
2022-10-26T03:04:07.794648image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile7
Q122.3
median52.9
Q3165
95-th percentile472
Maximum2875.4
Range1002874.4
Interquartile range (IQR)142.7

Descriptive statistics

Standard deviation73699.55002
Coefficient of variation (CV)-13.81756219
Kurtosis178.154299
Mean-5333.759241
Median Absolute Deviation (MAD)40.2
Skewness-13.42209197
Sum-2930623347
Variance5431623673
MonotonicityNot monotonic
2022-10-26T03:04:08.114656image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2532600
 
5.9%
012980
 
2.3%
1210572
 
1.9%
109077
 
1.6%
157970
 
1.4%
207959
 
1.4%
166718
 
1.2%
186610
 
1.2%
145988
 
1.1%
305599
 
1.0%
Other values (8446)443375
79.9%
(Missing)5585
 
1.0%
ValueCountFrequency (%)
-9999993000
 
0.5%
012980
2.3%
41973
 
0.4%
4.1148
 
< 0.1%
4.211
 
< 0.1%
ValueCountFrequency (%)
2875.41
< 0.1%
2873.61
< 0.1%
2865.11
< 0.1%
2861.41
< 0.1%
2859.31
< 0.1%

inpatient_beds_used_7_day_avg
Real number (ℝ)

ZEROS

Distinct9367
Distinct (%)1.7%
Missing878
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean-81549.92931
Minimum-999999
Maximum2565.1
Zeros7841
Zeros (%)1.4%
Negative45248
Negative (%)8.2%
Memory size4.2 MiB
2022-10-26T03:04:08.431785image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q110.1
median34.3
Q3132.4
95-th percentile409
Maximum2565.1
Range1002564.1
Interquartile range (IQR)122.3

Descriptive statistics

Standard deviation273864.6813
Coefficient of variation (CV)-3.358245478
Kurtosis7.336042828
Mean-81549.92931
Median Absolute Deviation (MAD)30
Skewness-3.055488789
Sum-4.519130108 × 1010
Variance7.500186366 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:08.668371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-99999945248
 
8.2%
07841
 
1.4%
42597
 
0.5%
62502
 
0.5%
52431
 
0.4%
82336
 
0.4%
4.32188
 
0.4%
5.32176
 
0.4%
4.42168
 
0.4%
5.12128
 
0.4%
Other values (9357)482540
86.9%
ValueCountFrequency (%)
-99999945248
8.2%
07841
 
1.4%
42597
 
0.5%
4.12028
 
0.4%
4.276
 
< 0.1%
ValueCountFrequency (%)
2565.11
< 0.1%
25641
< 0.1%
25581
< 0.1%
2544.71
< 0.1%
2542.91
< 0.1%
Distinct8557
Distinct (%)1.6%
Missing3328
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean-84037.90498
Minimum-999999
Maximum2344.9
Zeros16897
Zeros (%)3.0%
Negative46416
Negative (%)8.4%
Memory size4.2 MiB
2022-10-26T03:04:08.925699image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q19.3
median31.3
Q3124.1
95-th percentile377.7
Maximum2344.9
Range1002343.9
Interquartile range (IQR)114.8

Descriptive statistics

Standard deviation277614.0326
Coefficient of variation (CV)-3.303438284
Kurtosis6.978024392
Mean-84037.90498
Median Absolute Deviation (MAD)29.7
Skewness-2.996330343
Sum-4.636413237 × 1010
Variance7.706955112 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:09.192303image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-99999946416
 
8.4%
016897
 
3.0%
42596
 
0.5%
62528
 
0.5%
52415
 
0.4%
82276
 
0.4%
4.32194
 
0.4%
5.32176
 
0.4%
72129
 
0.4%
4.42125
 
0.4%
Other values (8547)469953
84.7%
(Missing)3328
 
0.6%
ValueCountFrequency (%)
-99999946416
8.4%
016897
 
3.0%
42596
 
0.5%
4.12005
 
0.4%
4.281
 
< 0.1%
ValueCountFrequency (%)
2344.91
< 0.1%
2343.11
< 0.1%
2326.31
< 0.1%
2321.31
< 0.1%
2315.31
< 0.1%
Distinct2255
Distinct (%)0.4%
Missing515
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-318595.2634
Minimum-999999
Maximum1297.7
Zeros137810
Zeros (%)24.8%
Negative176673
Negative (%)31.8%
Memory size4.2 MiB
2022-10-26T03:04:09.422844image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q311.7
95-th percentile51.4
Maximum1297.7
Range1001296.7
Interquartile range (IQR)1000010.7

Descriptive statistics

Standard deviation465943.3898
Coefficient of variation (CV)-1.462493148
Kurtosis-1.393752513
Mean-318595.2634
Median Absolute Deviation (MAD)17.9
Skewness-0.7786221824
Sum-1.766668083 × 1011
Variance2.171032425 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:09.607948image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-999999176673
31.8%
0137810
24.8%
43407
 
0.6%
4.12890
 
0.5%
52871
 
0.5%
4.32815
 
0.5%
4.42750
 
0.5%
4.62706
 
0.5%
4.92615
 
0.5%
4.72591
 
0.5%
Other values (2245)217390
39.2%
ValueCountFrequency (%)
-999999176673
31.8%
0137810
24.8%
43407
 
0.6%
4.12890
 
0.5%
4.285
 
< 0.1%
ValueCountFrequency (%)
1297.71
< 0.1%
996.71
< 0.1%
919.61
< 0.1%
887.91
< 0.1%
8851
< 0.1%
Distinct2208
Distinct (%)0.4%
Missing2372
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-317608.7832
Minimum-999999
Maximum1297.1
Zeros142123
Zeros (%)25.6%
Negative175536
Negative (%)31.6%
Memory size4.2 MiB
2022-10-26T03:04:09.898376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q311.4
95-th percentile50.4
Maximum1297.1
Range1001296.1
Interquartile range (IQR)1000010.4

Descriptive statistics

Standard deviation465557.8164
Coefficient of variation (CV)-1.465821605
Kurtosis-1.386123585
Mean-317608.7832
Median Absolute Deviation (MAD)17.4
Skewness-0.7835058521
Sum-1.755299877 × 1011
Variance2.167440804 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:10.117595image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-999999175536
31.6%
0142123
25.6%
43342
 
0.6%
4.12860
 
0.5%
52774
 
0.5%
4.32769
 
0.5%
4.42681
 
0.5%
4.62661
 
0.5%
4.92551
 
0.5%
4.72543
 
0.5%
Other values (2198)212821
38.3%
ValueCountFrequency (%)
-999999175536
31.6%
0142123
25.6%
43342
 
0.6%
4.12860
 
0.5%
4.283
 
< 0.1%
ValueCountFrequency (%)
1297.11
< 0.1%
9291
< 0.1%
874.31
< 0.1%
871.11
< 0.1%
809.11
< 0.1%
Distinct2063
Distinct (%)0.4%
Missing2724
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-316966.9216
Minimum-999999
Maximum1295.9
Zeros156019
Zeros (%)28.1%
Negative175069
Negative (%)31.5%
Memory size4.2 MiB
2022-10-26T03:04:10.303640image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q39.9
95-th percentile45.4
Maximum1295.9
Range1001294.9
Interquartile range (IQR)1000008.9

Descriptive statistics

Standard deviation465304.499
Coefficient of variation (CV)-1.467990718
Kurtosis-1.381115537
Mean-316966.9216
Median Absolute Deviation (MAD)15
Skewness-0.7866952747
Sum-1.750636835 × 1011
Variance2.165082768 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:10.467862image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-999999175069
31.5%
0156019
28.1%
43400
 
0.6%
4.32849
 
0.5%
4.12849
 
0.5%
52750
 
0.5%
4.42668
 
0.5%
4.62646
 
0.5%
4.72597
 
0.5%
4.92588
 
0.5%
Other values (2053)198874
35.8%
(Missing)2724
 
0.5%
ValueCountFrequency (%)
-999999175069
31.5%
0156019
28.1%
43400
 
0.6%
4.12849
 
0.5%
4.283
 
< 0.1%
ValueCountFrequency (%)
1295.91
< 0.1%
8601
< 0.1%
856.31
< 0.1%
791.71
< 0.1%
771.11
< 0.1%
Distinct492
Distinct (%)0.1%
Missing2531
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-116663.512
Minimum-999999
Maximum121.9
Zeros478115
Zeros (%)86.1%
Negative64457
Negative (%)11.6%
Memory size4.2 MiB
2022-10-26T03:04:10.636100image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum121.9
Range1000120.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation321019.3285
Coefficient of variation (CV)-2.75166865
Kurtosis3.70375312
Mean-116663.512
Median Absolute Deviation (MAD)0
Skewness-2.388250345
Sum-6.44568237 × 1010
Variance1.030534093 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:10.798606image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0478115
86.1%
-99999964457
 
11.6%
4.3319
 
0.1%
4312
 
0.1%
4.1311
 
0.1%
5260
 
< 0.1%
4.9246
 
< 0.1%
4.7242
 
< 0.1%
4.4237
 
< 0.1%
4.6235
 
< 0.1%
Other values (482)7768
 
1.4%
(Missing)2531
 
0.5%
ValueCountFrequency (%)
-99999964457
 
11.6%
0478115
86.1%
4312
 
0.1%
4.1311
 
0.1%
4.28
 
< 0.1%
ValueCountFrequency (%)
121.91
< 0.1%
118.71
< 0.1%
1161
< 0.1%
115.71
< 0.1%
111.32
< 0.1%
Distinct336
Distinct (%)0.1%
Missing3131
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean-80901.85859
Minimum-999999
Maximum106.7
Zeros501214
Zeros (%)90.3%
Negative44650
Negative (%)8.0%
Memory size4.2 MiB
2022-10-26T03:04:10.954299image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum106.7
Range1000105.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation272684.6281
Coefficient of variation (CV)-3.370560737
Kurtosis7.448728763
Mean-80901.85859
Median Absolute Deviation (MAD)0
Skewness-3.073874065
Sum-4.464989756 × 1010
Variance7.435690641 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:11.143767image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0501214
90.3%
-99999944650
 
8.0%
4.1229
 
< 0.1%
4229
 
< 0.1%
4.3206
 
< 0.1%
4.6185
 
< 0.1%
4.7180
 
< 0.1%
4.4174
 
< 0.1%
4.9159
 
< 0.1%
5.3155
 
< 0.1%
Other values (326)4521
 
0.8%
(Missing)3131
 
0.6%
ValueCountFrequency (%)
-99999944650
 
8.0%
0501214
90.3%
4229
 
< 0.1%
4.1229
 
< 0.1%
4.26
 
< 0.1%
ValueCountFrequency (%)
106.71
< 0.1%
96.71
< 0.1%
951
< 0.1%
83.71
< 0.1%
77.91
< 0.1%

inpatient_beds_7_day_avg
Real number (ℝ)

Distinct9219
Distinct (%)1.7%
Missing1730
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-3861.984625
Minimum-999999
Maximum3392
Zeros3103
Zeros (%)0.6%
Negative2214
Negative (%)0.4%
Memory size4.2 MiB
2022-10-26T03:04:11.303859image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile10
Q125
median57.7
Q3180.3
95-th percentile518
Maximum3392
Range1003391
Interquartile range (IQR)155.3

Descriptive statistics

Standard deviation63139.27938
Coefficient of variation (CV)-16.34892044
Kurtosis244.9122094
Mean-3861.984625
Median Absolute Deviation (MAD)43.4
Skewness-15.71333075
Sum-2136847679
Variance3986568600
MonotonicityNot monotonic
2022-10-26T03:04:11.489957image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2535630
 
6.4%
1210693
 
1.9%
109184
 
1.7%
157765
 
1.4%
207287
 
1.3%
167142
 
1.3%
186461
 
1.2%
306337
 
1.1%
146260
 
1.1%
225156
 
0.9%
Other values (9209)451388
81.3%
ValueCountFrequency (%)
-9999992214
0.4%
03103
0.6%
42020
0.4%
4.1133
 
< 0.1%
4.29
 
< 0.1%
ValueCountFrequency (%)
33922
 
< 0.1%
33327
< 0.1%
3318.31
 
< 0.1%
3313.41
 
< 0.1%
3306.71
 
< 0.1%

total_icu_beds_7_day_avg
Real number (ℝ)

ZEROS

Distinct2558
Distinct (%)0.5%
Missing2069
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-50869.92755
Minimum-999999
Maximum849.9
Zeros187582
Zeros (%)33.8%
Negative28141
Negative (%)5.1%
Memory size4.2 MiB
2022-10-26T03:04:11.680959image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median6.9
Q324
95-th percentile95.7
Maximum849.9
Range1000848.9
Interquartile range (IQR)24

Descriptive statistics

Standard deviation219780.4252
Coefficient of variation (CV)-4.320439124
Kurtosis14.70352636
Mean-50869.92755
Median Absolute Deviation (MAD)6.9
Skewness-4.086988196
Sum-2.812923862 × 1010
Variance4.830343531 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:11.837095image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0187582
33.8%
-99999928141
 
5.1%
621502
 
3.9%
419172
 
3.5%
814533
 
2.6%
1014279
 
2.6%
1212897
 
2.3%
59112
 
1.6%
167425
 
1.3%
76903
 
1.2%
Other values (2548)231418
41.7%
ValueCountFrequency (%)
-99999928141
 
5.1%
0187582
33.8%
419172
 
3.5%
4.1574
 
0.1%
4.219
 
< 0.1%
ValueCountFrequency (%)
849.91
< 0.1%
7521
< 0.1%
590.61
< 0.1%
580.61
< 0.1%
538.31
< 0.1%

total_staffed_adult_icu_beds_7_day_avg
Real number (ℝ)

MISSING
ZEROS

Distinct1933
Distinct (%)0.4%
Missing7027
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean-51769.68213
Minimum-999999
Maximum557.7
Zeros193413
Zeros (%)34.8%
Negative28379
Negative (%)5.1%
Memory size4.2 MiB
2022-10-26T03:04:12.175432image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median6
Q320
95-th percentile68.1
Maximum557.7
Range1000556.7
Interquartile range (IQR)20

Descriptive statistics

Standard deviation221598.3223
Coefficient of variation (CV)-4.280465192
Kurtosis14.36502028
Mean-51769.68213
Median Absolute Deviation (MAD)6
Skewness-4.045363707
Sum-2.837009642 × 1010
Variance4.910581646 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:12.335091image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0193413
34.8%
-99999928379
 
5.1%
621389
 
3.9%
419243
 
3.5%
815478
 
2.8%
1014893
 
2.7%
1214327
 
2.6%
58687
 
1.6%
168374
 
1.5%
76952
 
1.3%
Other values (1923)216871
39.1%
(Missing)7027
 
1.3%
ValueCountFrequency (%)
-99999928379
 
5.1%
0193413
34.8%
419243
 
3.5%
4.1588
 
0.1%
4.218
 
< 0.1%
ValueCountFrequency (%)
557.71
 
< 0.1%
454.31
 
< 0.1%
4151
 
< 0.1%
3925
< 0.1%
390.31
 
< 0.1%

icu_beds_used_7_day_avg
Real number (ℝ)

ZEROS

Distinct2591
Distinct (%)0.5%
Missing1653
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-123106.4794
Minimum-999999
Maximum537.4
Zeros204552
Zeros (%)36.9%
Negative68133
Negative (%)12.3%
Memory size4.2 MiB
2022-10-26T03:04:12.539442image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median4
Q315.7
95-th percentile71.7
Maximum537.4
Range1000536.4
Interquartile range (IQR)15.7

Descriptive statistics

Standard deviation328582.2404
Coefficient of variation (CV)-2.669089735
Kurtosis3.262504517
Mean-123106.4794
Median Absolute Deviation (MAD)4
Skewness-2.294012347
Sum-6.812466357 × 1010
Variance1.079662887 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:12.690044image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0204552
36.9%
-99999968133
 
12.3%
44036
 
0.7%
63945
 
0.7%
53453
 
0.6%
5.72785
 
0.5%
4.92760
 
0.5%
5.92713
 
0.5%
4.72685
 
0.5%
4.62668
 
0.5%
Other values (2581)255650
46.1%
ValueCountFrequency (%)
-99999968133
 
12.3%
0204552
36.9%
44036
 
0.7%
4.12566
 
0.5%
4.286
 
< 0.1%
ValueCountFrequency (%)
537.41
< 0.1%
533.91
< 0.1%
5211
< 0.1%
481.41
< 0.1%
474.11
< 0.1%

staffed_adult_icu_bed_occupancy_7_day_avg
Real number (ℝ)

MISSING
ZEROS

Distinct1992
Distinct (%)0.4%
Missing5787
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean-124883.0088
Minimum-999999
Maximum5864.4
Zeros209309
Zeros (%)37.7%
Negative68598
Negative (%)12.4%
Memory size4.2 MiB
2022-10-26T03:04:12.866137image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q313.6
95-th percentile53.4
Maximum5864.4
Range1005863.4
Interquartile range (IQR)13.6

Descriptive statistics

Standard deviation330604.0531
Coefficient of variation (CV)-2.64731012
Kurtosis3.149494255
Mean-124883.0088
Median Absolute Deviation (MAD)7.4
Skewness-2.269247175
Sum-6.859149305 × 1010
Variance1.092990399 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:13.058244image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0209309
37.7%
-99999968598
 
12.4%
44094
 
0.7%
64073
 
0.7%
53518
 
0.6%
5.72932
 
0.5%
82858
 
0.5%
5.92854
 
0.5%
4.92852
 
0.5%
4.72779
 
0.5%
Other values (1982)245379
44.2%
(Missing)5787
 
1.0%
ValueCountFrequency (%)
-99999968598
 
12.4%
0209309
37.7%
44094
 
0.7%
4.12646
 
0.5%
4.288
 
< 0.1%
ValueCountFrequency (%)
5864.41
< 0.1%
394.31
< 0.1%
393.61
< 0.1%
3791
< 0.1%
3511
< 0.1%
Distinct760
Distinct (%)0.1%
Missing4265
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean-311379.2055
Minimum-999999
Maximum1368
Zeros277382
Zeros (%)50.0%
Negative171499
Negative (%)30.9%
Memory size4.2 MiB
2022-10-26T03:04:13.239419image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q30
95-th percentile12.1
Maximum1368
Range1001367
Interquartile range (IQR)999999

Descriptive statistics

Standard deviation463059.7356
Coefficient of variation (CV)-1.48712479
Kurtosis-1.336324278
Mean-311379.2055
Median Absolute Deviation (MAD)0
Skewness-0.8146659277
Sum-1.714977023 × 1011
Variance2.144243187 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:13.449253image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0277382
50.0%
-999999171499
30.9%
43067
 
0.6%
4.12634
 
0.5%
4.32570
 
0.5%
4.62533
 
0.5%
4.42500
 
0.5%
4.72385
 
0.4%
52298
 
0.4%
4.92147
 
0.4%
Other values (750)81753
 
14.7%
(Missing)4265
 
0.8%
ValueCountFrequency (%)
-999999171499
30.9%
0277382
50.0%
43067
 
0.6%
4.12634
 
0.5%
4.260
 
< 0.1%
ValueCountFrequency (%)
13681
< 0.1%
1359.11
< 0.1%
1194.71
< 0.1%
453.11
< 0.1%
445.41
< 0.1%
Distinct713
Distinct (%)0.1%
Missing4461
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean-302354.2919
Minimum-999999
Maximum684
Zeros289190
Zeros (%)52.1%
Negative166469
Negative (%)30.0%
Memory size4.2 MiB
2022-10-26T03:04:13.626909image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q30
95-th percentile11.4
Maximum684
Range1000683
Interquartile range (IQR)999999

Descriptive statistics

Standard deviation459280.0006
Coefficient of variation (CV)-1.519012671
Kurtosis-1.259249245
Mean-302354.2919
Median Absolute Deviation (MAD)0
Skewness-0.8606714408
Sum-1.664678072 × 1011
Variance2.10938119 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:13.835675image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0289190
52.1%
-999999166469
30.0%
42888
 
0.5%
4.12483
 
0.4%
4.32475
 
0.4%
4.42393
 
0.4%
4.62332
 
0.4%
4.72330
 
0.4%
52278
 
0.4%
4.92017
 
0.4%
Other values (703)75717
 
13.6%
(Missing)4461
 
0.8%
ValueCountFrequency (%)
-999999166469
30.0%
0289190
52.1%
42888
 
0.5%
4.12483
 
0.4%
4.258
 
< 0.1%
ValueCountFrequency (%)
6841
< 0.1%
679.61
< 0.1%
504.31
< 0.1%
2341
< 0.1%
226.61
< 0.1%
Distinct260
Distinct (%)0.1%
Missing83232
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean-116389.9927
Minimum-999999
Maximum111
Zeros414263
Zeros (%)74.6%
Negative54913
Negative (%)9.9%
Memory size4.2 MiB
2022-10-26T03:04:14.033521image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum111
Range1000110
Interquartile range (IQR)0

Descriptive statistics

Standard deviation320692.2634
Coefficient of variation (CV)-2.755325057
Kurtosis3.723564058
Mean-116389.9927
Median Absolute Deviation (MAD)0
Skewness-2.392393837
Sum-5.491291495 × 1010
Variance1.028435278 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:14.234907image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0414263
74.6%
-99999954913
 
9.9%
4173
 
< 0.1%
5164
 
< 0.1%
4.3124
 
< 0.1%
4.1120
 
< 0.1%
4.6102
 
< 0.1%
4.798
 
< 0.1%
4.497
 
< 0.1%
683
 
< 0.1%
Other values (250)1664
 
0.3%
(Missing)83232
 
15.0%
ValueCountFrequency (%)
-99999954913
 
9.9%
0414263
74.6%
4173
 
< 0.1%
4.1120
 
< 0.1%
4.23
 
< 0.1%
ValueCountFrequency (%)
11114
< 0.1%
109.61
 
< 0.1%
1091
 
< 0.1%
107.31
 
< 0.1%
102.41
 
< 0.1%

icu_patients_confirmed_influenza_7_day_avg
Real number (ℝ)

MISSING
ZEROS

Distinct62
Distinct (%)< 0.1%
Missing83473
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean-31894.10135
Minimum-999999
Maximum32
Zeros456236
Zeros (%)82.2%
Negative15040
Negative (%)2.7%
Memory size4.2 MiB
2022-10-26T03:04:14.485183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum32
Range1000031
Interquartile range (IQR)0

Descriptive statistics

Standard deviation175718.2591
Coefficient of variation (CV)-5.509428128
Kurtosis26.3869608
Mean-31894.10135
Median Absolute Deviation (MAD)0
Skewness-5.327931013
Sum-1.503998243 × 1010
Variance3.087690659 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:14.761190image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0456236
82.2%
-99999915040
 
2.7%
839
 
< 0.1%
430
 
< 0.1%
1523
 
< 0.1%
517
 
< 0.1%
617
 
< 0.1%
1115
 
< 0.1%
4.310
 
< 0.1%
4.49
 
< 0.1%
Other values (52)124
 
< 0.1%
(Missing)83473
 
15.0%
ValueCountFrequency (%)
-99999915040
 
2.7%
0456236
82.2%
430
 
< 0.1%
4.16
 
< 0.1%
4.310
 
< 0.1%
ValueCountFrequency (%)
327
< 0.1%
31.31
 
< 0.1%
31.11
 
< 0.1%
301
 
< 0.1%
29.61
 
< 0.1%
Distinct276
Distinct (%)0.1%
Missing176217
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean-30856.60093
Minimum-999999
Maximum98.9
Zeros366124
Zeros (%)66.0%
Negative11689
Negative (%)2.1%
Memory size4.2 MiB
2022-10-26T03:04:15.041946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum98.9
Range1000097.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation172929.3399
Coefficient of variation (CV)-5.604289997
Kurtosis27.440122
Mean-30856.60093
Median Absolute Deviation (MAD)0
Skewness-5.425861879
Sum-1.168897414 × 1010
Variance2.990455661 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:15.432304image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0366124
66.0%
-99999911689
 
2.1%
467
 
< 0.1%
1629
 
< 0.1%
1026
 
< 0.1%
626
 
< 0.1%
524
 
< 0.1%
4.423
 
< 0.1%
4.319
 
< 0.1%
4.618
 
< 0.1%
Other values (266)771
 
0.1%
(Missing)176217
31.7%
ValueCountFrequency (%)
-99999911689
 
2.1%
0366124
66.0%
467
 
< 0.1%
4.118
 
< 0.1%
4.24
 
< 0.1%
ValueCountFrequency (%)
98.91
< 0.1%
941
< 0.1%
93.11
< 0.1%
861
< 0.1%
71.91
< 0.1%

total_beds_7_day_sum
Real number (ℝ)

MISSING
SKEWED

Distinct8802
Distinct (%)1.8%
Missing68559
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean1039.668328
Minimum-999999
Maximum35108
Zeros4379
Zeros (%)0.8%
Negative47
Negative (%)< 0.1%
Memory size4.2 MiB
2022-10-26T03:04:15.671076image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile70
Q1189
median480
Q31512
95-th percentile4186
Maximum35108
Range1035107
Interquartile range (IQR)1323

Descriptive statistics

Standard deviation9972.684777
Coefficient of variation (CV)9.592179075
Kurtosis9805.45516
Mean1039.668328
Median Absolute Deviation (MAD)360
Skewness-97.6961691
Sum505771610
Variance99454441.67
MonotonicityNot monotonic
2022-10-26T03:04:15.872340image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17521389
 
3.9%
2106668
 
1.2%
1405378
 
1.0%
2455101
 
0.9%
704633
 
0.8%
844512
 
0.8%
2244405
 
0.8%
04379
 
0.8%
1054074
 
0.7%
1123978
 
0.7%
Other values (8792)421957
76.0%
(Missing)68559
 
12.4%
ValueCountFrequency (%)
-99999947
 
< 0.1%
04379
0.8%
428
 
< 0.1%
523
 
< 0.1%
644
 
< 0.1%
ValueCountFrequency (%)
351081
< 0.1%
316331
< 0.1%
309081
< 0.1%
289382
< 0.1%
283021
< 0.1%

all_adult_hospital_beds_7_day_sum
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct7970
Distinct (%)1.7%
Missing75138
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean872.5320101
Minimum-999999
Maximum33460
Zeros11902
Zeros (%)2.1%
Negative72
Negative (%)< 0.1%
Memory size4.2 MiB
2022-10-26T03:04:16.079551image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile56
Q1175
median435
Q31359
95-th percentile3766
Maximum33460
Range1033459
Interquartile range (IQR)1184

Descriptive statistics

Standard deviation12344.79936
Coefficient of variation (CV)14.14824811
Kurtosis6479.914045
Mean872.5320101
Median Absolute Deviation (MAD)328
Skewness-79.95308761
Sum418723749
Variance152394071.3
MonotonicityNot monotonic
2022-10-26T03:04:16.307241image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17520134
 
3.6%
011902
 
2.1%
2106197
 
1.1%
1405479
 
1.0%
704755
 
0.9%
844754
 
0.9%
2454457
 
0.8%
1054155
 
0.7%
2244148
 
0.7%
1264103
 
0.7%
Other values (7960)409811
73.8%
(Missing)75138
 
13.5%
ValueCountFrequency (%)
-99999972
 
< 0.1%
011902
2.1%
430
 
< 0.1%
524
 
< 0.1%
647
 
< 0.1%
ValueCountFrequency (%)
334601
< 0.1%
279092
< 0.1%
272731
< 0.1%
271671
< 0.1%
271311
< 0.1%

all_adult_hospital_inpatient_beds_7_day_sum
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct7678
Distinct (%)1.4%
Missing5585
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean664.307181
Minimum-999999
Maximum20128
Zeros12980
Zeros (%)2.3%
Negative118
Negative (%)< 0.1%
Memory size4.2 MiB
2022-10-26T03:04:16.539123image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile49
Q1154
median364
Q31148
95-th percentile3290
Maximum20128
Range1020127
Interquartile range (IQR)994

Descriptive statistics

Standard deviation14719.88364
Coefficient of variation (CV)22.15824857
Kurtosis4583.648714
Mean664.307181
Median Absolute Deviation (MAD)280
Skewness-67.46709847
Sum365002252
Variance216674974.5
MonotonicityNot monotonic
2022-10-26T03:04:16.735693image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17531595
 
5.7%
012980
 
2.3%
8410399
 
1.9%
708788
 
1.6%
1057769
 
1.4%
1407746
 
1.4%
1266480
 
1.2%
1126469
 
1.2%
985768
 
1.0%
2105396
 
1.0%
Other values (7668)446058
80.4%
(Missing)5585
 
1.0%
ValueCountFrequency (%)
-999999118
 
< 0.1%
012980
2.3%
444
 
< 0.1%
534
 
< 0.1%
662
 
< 0.1%
ValueCountFrequency (%)
201281
< 0.1%
201151
< 0.1%
200561
< 0.1%
200301
< 0.1%
200151
< 0.1%

inpatient_beds_used_7_day_sum
Real number (ℝ)

ZEROS

Distinct8376
Distinct (%)1.5%
Missing878
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean-3931.776516
Minimum-999999
Maximum17956
Zeros7841
Zeros (%)1.4%
Negative2574
Negative (%)0.5%
Memory size4.2 MiB
2022-10-26T03:04:16.927822image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile15
Q170
median237
Q3921
95-th percentile2851
Maximum17956
Range1017955
Interquartile range (IQR)851

Descriptive statistics

Standard deviation68053.41244
Coefficient of variation (CV)-17.30856578
Kurtosis210.1757422
Mean-3931.776516
Median Absolute Deviation (MAD)208
Skewness-14.56411634
Sum-2178813615
Variance4631266945
MonotonicityNot monotonic
2022-10-26T03:04:17.161096image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07841
 
1.4%
-9999992574
 
0.5%
282543
 
0.5%
212481
 
0.4%
422419
 
0.4%
352355
 
0.4%
142312
 
0.4%
312285
 
0.4%
562279
 
0.4%
272274
 
0.4%
Other values (8366)524792
94.6%
ValueCountFrequency (%)
-9999992574
 
0.5%
07841
1.4%
4951
 
0.2%
5969
 
0.2%
61094
 
0.2%
ValueCountFrequency (%)
179561
< 0.1%
179481
< 0.1%
179061
< 0.1%
178131
< 0.1%
178001
< 0.1%
Distinct7618
Distinct (%)1.4%
Missing3328
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean-4613.798242
Minimum-999999
Maximum16414
Zeros16897
Zeros (%)3.0%
Negative2907
Negative (%)0.5%
Memory size4.2 MiB
2022-10-26T03:04:17.353576image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile9
Q163
median216
Q3863
95-th percentile2636.8
Maximum16414
Range1016413
Interquartile range (IQR)800

Descriptive statistics

Standard deviation72452.28987
Coefficient of variation (CV)-15.70339362
Kurtosis184.7154112
Mean-4613.798242
Median Absolute Deviation (MAD)191
Skewness-13.66292627
Sum-2545455559
Variance5249334308
MonotonicityNot monotonic
2022-10-26T03:04:17.526332image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016897
 
3.0%
-9999992907
 
0.5%
212543
 
0.5%
282515
 
0.5%
422436
 
0.4%
352341
 
0.4%
142336
 
0.4%
272257
 
0.4%
302233
 
0.4%
312220
 
0.4%
Other values (7608)513020
92.4%
(Missing)3328
 
0.6%
ValueCountFrequency (%)
-9999992907
 
0.5%
016897
3.0%
41057
 
0.2%
51029
 
0.2%
61214
 
0.2%
ValueCountFrequency (%)
164141
< 0.1%
164021
< 0.1%
162841
< 0.1%
162491
< 0.1%
162071
< 0.1%
Distinct2038
Distinct (%)0.4%
Missing515
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-72205.55525
Minimum-999999
Maximum9084
Zeros137810
Zeros (%)24.8%
Negative40083
Negative (%)7.2%
Memory size4.2 MiB
2022-10-26T03:04:17.728582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median17
Q382
95-th percentile359
Maximum9084
Range1009083
Interquartile range (IQR)82

Descriptive statistics

Standard deviation258980.2447
Coefficient of variation (CV)-3.586708028
Kurtosis8.912241949
Mean-72205.55525
Median Absolute Deviation (MAD)17
Skewness-3.303362466
Sum-4.003928008 × 1010
Variance6.707076714 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:17.885591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0137810
24.8%
-99999940083
 
7.2%
711980
 
2.2%
410779
 
1.9%
59393
 
1.7%
69038
 
1.6%
87384
 
1.3%
97090
 
1.3%
106682
 
1.2%
146122
 
1.1%
Other values (2028)308157
55.5%
ValueCountFrequency (%)
-99999940083
 
7.2%
0137810
24.8%
410779
 
1.9%
59393
 
1.7%
69038
 
1.6%
ValueCountFrequency (%)
90841
< 0.1%
69771
< 0.1%
64371
< 0.1%
62151
< 0.1%
61951
< 0.1%
Distinct2008
Distinct (%)0.4%
Missing2372
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-72566.24061
Minimum-999999
Maximum9080
Zeros142123
Zeros (%)25.6%
Negative40147
Negative (%)7.2%
Memory size4.2 MiB
2022-10-26T03:04:18.051376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median16
Q380
95-th percentile352
Maximum9080
Range1009079
Interquartile range (IQR)80

Descriptive statistics

Standard deviation259571.2527
Coefficient of variation (CV)-3.577024943
Kurtosis8.844350396
Mean-72566.24061
Median Absolute Deviation (MAD)16
Skewness-3.293070381
Sum-4.01045311 × 1010
Variance6.737723522 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:18.331730image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0142123
25.6%
-99999940147
 
7.2%
712026
 
2.2%
410745
 
1.9%
59401
 
1.7%
68997
 
1.6%
87351
 
1.3%
97024
 
1.3%
106636
 
1.2%
146025
 
1.1%
Other values (1998)302186
54.4%
ValueCountFrequency (%)
-99999940147
 
7.2%
0142123
25.6%
410745
 
1.9%
59401
 
1.7%
68997
 
1.6%
ValueCountFrequency (%)
90801
< 0.1%
65031
< 0.1%
61201
< 0.1%
60981
< 0.1%
56641
< 0.1%
Distinct1875
Distinct (%)0.3%
Missing2724
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-70117.19198
Minimum-999999
Maximum9071
Zeros156019
Zeros (%)28.1%
Negative38764
Negative (%)7.0%
Memory size4.2 MiB
2022-10-26T03:04:18.502062image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median14
Q369
95-th percentile317
Maximum9071
Range1009070
Interquartile range (IQR)69

Descriptive statistics

Standard deviation255477.8534
Coefficient of variation (CV)-3.643583638
Kurtosis9.323558004
Mean-70117.19198
Median Absolute Deviation (MAD)14
Skewness-3.365043686
Sum-3.872635618 × 1010
Variance6.526893358 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:18.778872image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0156019
28.1%
-99999938764
 
7.0%
712513
 
2.3%
410800
 
1.9%
59314
 
1.7%
69134
 
1.6%
87355
 
1.3%
96930
 
1.2%
106566
 
1.2%
146142
 
1.1%
Other values (1865)288772
52.0%
ValueCountFrequency (%)
-99999938764
 
7.0%
0156019
28.1%
410800
 
1.9%
59314
 
1.7%
69134
 
1.6%
ValueCountFrequency (%)
90711
< 0.1%
60201
< 0.1%
59941
< 0.1%
55421
< 0.1%
53981
< 0.1%
Distinct468
Distinct (%)0.1%
Missing2531
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-61138.01154
Minimum-999999
Maximum853
Zeros478115
Zeros (%)86.1%
Negative33780
Negative (%)6.1%
Memory size4.2 MiB
2022-10-26T03:04:19.060064image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile7
Maximum853
Range1000852
Interquartile range (IQR)0

Descriptive statistics

Standard deviation239587.5113
Coefficient of variation (CV)-3.918797901
Kurtosis11.42112675
Mean-61138.01154
Median Absolute Deviation (MAD)0
Skewness-3.66347995
Sum-3.377887365 × 1010
Variance5.740217556 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:19.249974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0478115
86.1%
-99999933780
 
6.1%
44600
 
0.8%
53394
 
0.6%
72983
 
0.5%
62908
 
0.5%
82130
 
0.4%
91736
 
0.3%
101555
 
0.3%
111292
 
0.2%
Other values (458)20009
 
3.6%
(Missing)2531
 
0.5%
ValueCountFrequency (%)
-99999933780
 
6.1%
0478115
86.1%
44600
 
0.8%
53394
 
0.6%
62908
 
0.5%
ValueCountFrequency (%)
8531
< 0.1%
8311
< 0.1%
8121
< 0.1%
8101
< 0.1%
7792
< 0.1%
Distinct326
Distinct (%)0.1%
Missing3131
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean-40708.94677
Minimum-999999
Maximum747
Zeros501214
Zeros (%)90.3%
Negative22468
Negative (%)4.0%
Memory size4.2 MiB
2022-10-26T03:04:19.620518image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum747
Range1000746
Interquartile range (IQR)0

Descriptive statistics

Standard deviation197618.0588
Coefficient of variation (CV)-4.854413451
Kurtosis19.60653929
Mean-40708.94677
Median Absolute Deviation (MAD)0
Skewness-4.648275829
Sum-2.246734914 × 1010
Variance3.905289715 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:19.899199image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0501214
90.3%
-99999922468
 
4.0%
43213
 
0.6%
72505
 
0.5%
52446
 
0.4%
62155
 
0.4%
81392
 
0.3%
91232
 
0.2%
101127
 
0.2%
11922
 
0.2%
Other values (316)13228
 
2.4%
(Missing)3131
 
0.6%
ValueCountFrequency (%)
-99999922468
 
4.0%
0501214
90.3%
43213
 
0.6%
52446
 
0.4%
62155
 
0.4%
ValueCountFrequency (%)
7471
< 0.1%
6771
< 0.1%
6651
< 0.1%
5861
< 0.1%
5451
< 0.1%

inpatient_beds_7_day_sum
Real number (ℝ)

SKEWED

Distinct8419
Distinct (%)1.5%
Missing1730
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean829.6429985
Minimum-999999
Maximum23744
Zeros3103
Zeros (%)0.6%
Negative78
Negative (%)< 0.1%
Memory size4.2 MiB
2022-10-26T03:04:20.202835image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile66
Q1168
median399
Q31257
95-th percentile3620.9
Maximum23744
Range1023743
Interquartile range (IQR)1089

Descriptive statistics

Standard deviation11967.17604
Coefficient of variation (CV)14.42448868
Kurtosis6893.196533
Mean829.6429985
Median Absolute Deviation (MAD)301
Skewness-82.45231247
Sum459043960
Variance143213302.4
MonotonicityNot monotonic
2022-10-26T03:04:20.467024image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17534337
 
6.2%
8410456
 
1.9%
708863
 
1.6%
1057520
 
1.4%
1407081
 
1.3%
1126869
 
1.2%
1266363
 
1.1%
2106114
 
1.1%
986028
 
1.1%
1544940
 
0.9%
Other values (8409)454732
81.9%
ValueCountFrequency (%)
-99999978
 
< 0.1%
03103
0.6%
440
 
< 0.1%
527
 
< 0.1%
652
 
< 0.1%
ValueCountFrequency (%)
237442
 
< 0.1%
233247
< 0.1%
232281
 
< 0.1%
231941
 
< 0.1%
231471
 
< 0.1%

total_icu_beds_7_day_sum
Real number (ℝ)

SKEWED
ZEROS

Distinct2342
Distinct (%)0.4%
Missing2069
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-2296.333333
Minimum-999999
Maximum5949
Zeros187582
Zeros (%)33.8%
Negative1352
Negative (%)0.2%
Memory size4.2 MiB
2022-10-26T03:04:20.717143image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median46
Q3166
95-th percentile665
Maximum5949
Range1005948
Interquartile range (IQR)166

Descriptive statistics

Standard deviation49394.63509
Coefficient of variation (CV)-21.51021996
Kurtosis403.9778072
Mean-2296.333333
Median Absolute Deviation (MAD)46
Skewness-20.14853719
Sum-1269789665
Variance2439829976
MonotonicityNot monotonic
2022-10-26T03:04:21.023953image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0187582
33.8%
4220893
 
3.8%
2818551
 
3.3%
5614214
 
2.6%
7013858
 
2.5%
8412571
 
2.3%
358833
 
1.6%
148557
 
1.5%
1127228
 
1.3%
496627
 
1.2%
Other values (2332)254050
45.8%
ValueCountFrequency (%)
-9999991352
 
0.2%
0187582
33.8%
4480
 
0.1%
5333
 
0.1%
6533
 
0.1%
ValueCountFrequency (%)
59491
< 0.1%
52641
< 0.1%
41341
< 0.1%
40641
< 0.1%
37681
< 0.1%

total_staffed_adult_icu_beds_7_day_sum
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct1760
Distinct (%)0.3%
Missing7027
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean-2362.650278
Minimum-999999
Maximum3904
Zeros193413
Zeros (%)34.8%
Negative1357
Negative (%)0.2%
Memory size4.2 MiB
2022-10-26T03:04:21.329130image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median42
Q3140
95-th percentile476
Maximum3904
Range1003903
Interquartile range (IQR)140

Descriptive statistics

Standard deviation49706.3298
Coefficient of variation (CV)-21.03837808
Kurtosis398.829985
Mean-2362.650278
Median Absolute Deviation (MAD)42
Skewness-20.0205444
Sum-1294746528
Variance2470719223
MonotonicityNot monotonic
2022-10-26T03:04:21.579456image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0193413
34.8%
4220771
 
3.7%
2818705
 
3.4%
5615118
 
2.7%
7014466
 
2.6%
8413987
 
2.5%
358446
 
1.5%
148406
 
1.5%
1128220
 
1.5%
1406682
 
1.2%
Other values (1750)239792
43.2%
(Missing)7027
 
1.3%
ValueCountFrequency (%)
-9999991357
 
0.2%
0193413
34.8%
4526
 
0.1%
5335
 
0.1%
6562
 
0.1%
ValueCountFrequency (%)
39041
 
< 0.1%
31801
 
< 0.1%
29051
 
< 0.1%
27445
< 0.1%
27321
 
< 0.1%

icu_beds_used_7_day_sum
Real number (ℝ)

ZEROS

Distinct2322
Distinct (%)0.4%
Missing1653
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-16089.11129
Minimum-999999
Maximum3762
Zeros204552
Zeros (%)36.9%
Negative8962
Negative (%)1.6%
Memory size4.2 MiB
2022-10-26T03:04:21.784115image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median28
Q3109
95-th percentile500
Maximum3762
Range1003761
Interquartile range (IQR)109

Descriptive statistics

Standard deviation126238.7183
Coefficient of variation (CV)-7.846220718
Kurtosis56.7640184
Mean-16089.11129
Median Absolute Deviation (MAD)28
Skewness-7.665744042
Sum-8903392405
Variance1.593621401 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:22.035433image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0204552
36.9%
-9999998962
 
1.6%
283933
 
0.7%
423847
 
0.7%
353364
 
0.6%
273131
 
0.6%
253077
 
0.6%
262944
 
0.5%
242927
 
0.5%
212884
 
0.5%
Other values (2312)313759
56.5%
ValueCountFrequency (%)
-9999998962
 
1.6%
0204552
36.9%
42479
 
0.4%
52173
 
0.4%
62250
 
0.4%
ValueCountFrequency (%)
37621
< 0.1%
37371
< 0.1%
36471
< 0.1%
33701
< 0.1%
33191
< 0.1%

staffed_adult_icu_bed_occupancy_7_day_sum
Real number (ℝ)

MISSING
ZEROS

Distinct1756
Distinct (%)0.3%
Missing5787
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean-16335.43264
Minimum-999999
Maximum41051
Zeros209309
Zeros (%)37.7%
Negative9018
Negative (%)1.6%
Memory size4.2 MiB
2022-10-26T03:04:22.295065image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median26
Q395
95-th percentile373
Maximum41051
Range1041050
Interquartile range (IQR)95

Descriptive statistics

Standard deviation127090.745
Coefficient of variation (CV)-7.780066059
Kurtosis55.92253288
Mean-16335.43264
Median Absolute Deviation (MAD)26
Skewness-7.610664997
Sum-8972171035
Variance1.615205747 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:22.566939image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0209309
37.7%
-9999999018
 
1.6%
283964
 
0.7%
423958
 
0.7%
353430
 
0.6%
273165
 
0.6%
253123
 
0.6%
262989
 
0.5%
242951
 
0.5%
342946
 
0.5%
Other values (1746)304393
54.8%
(Missing)5787
 
1.0%
ValueCountFrequency (%)
-9999999018
 
1.6%
0209309
37.7%
42526
 
0.5%
52190
 
0.4%
62285
 
0.4%
ValueCountFrequency (%)
410511
< 0.1%
27601
< 0.1%
27551
< 0.1%
26531
< 0.1%
24571
< 0.1%
Distinct701
Distinct (%)0.1%
Missing4265
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean-68140.0914
Minimum-999999
Maximum9576
Zeros277382
Zeros (%)50.0%
Negative37539
Negative (%)6.8%
Memory size4.2 MiB
2022-10-26T03:04:22.870290image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q317
95-th percentile85
Maximum9576
Range1009575
Interquartile range (IQR)17

Descriptive statistics

Standard deviation252020.7611
Coefficient of variation (CV)-3.698567993
Kurtosis9.74512918
Mean-68140.0914
Median Absolute Deviation (MAD)0
Skewness-3.427111501
Sum-3.752938186 × 1010
Variance6.351446403 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:23.128149image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0277382
50.0%
-99999937539
 
6.8%
711640
 
2.1%
49640
 
1.7%
68664
 
1.6%
58654
 
1.6%
87662
 
1.4%
97023
 
1.3%
106711
 
1.2%
146396
 
1.2%
Other values (691)169457
30.5%
ValueCountFrequency (%)
-99999937539
 
6.8%
0277382
50.0%
49640
 
1.7%
58654
 
1.6%
68664
 
1.6%
ValueCountFrequency (%)
95761
< 0.1%
95141
< 0.1%
83631
< 0.1%
31721
< 0.1%
31181
< 0.1%
Distinct659
Distinct (%)0.1%
Missing4461
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean-64316.98153
Minimum-999999
Maximum4788
Zeros289190
Zeros (%)52.1%
Negative35420
Negative (%)6.4%
Memory size4.2 MiB
2022-10-26T03:04:23.422807image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q316
95-th percentile80
Maximum4788
Range1004787
Interquartile range (IQR)16

Descriptive statistics

Standard deviation245349.5507
Coefficient of variation (CV)-3.814693178
Kurtosis10.61296235
Mean-64316.98153
Median Absolute Deviation (MAD)0
Skewness-3.551467775
Sum-3.541112916 × 1010
Variance6.019640201 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:23.715815image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0289190
52.1%
-99999935420
 
6.4%
712401
 
2.2%
49546
 
1.7%
68538
 
1.5%
58482
 
1.5%
87294
 
1.3%
96713
 
1.2%
146459
 
1.2%
106441
 
1.2%
Other values (649)160088
28.8%
ValueCountFrequency (%)
-99999935420
 
6.4%
0289190
52.1%
49546
 
1.7%
58482
 
1.5%
68538
 
1.5%
ValueCountFrequency (%)
47881
< 0.1%
47571
< 0.1%
35301
< 0.1%
16381
< 0.1%
15861
< 0.1%
Distinct276
Distinct (%)0.1%
Missing83232
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean-51499.45974
Minimum-999999
Maximum777
Zeros414263
Zeros (%)74.6%
Negative24298
Negative (%)4.4%
Memory size4.2 MiB
2022-10-26T03:04:24.003196image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile6
Maximum777
Range1000776
Interquartile range (IQR)0

Descriptive statistics

Standard deviation221016.5899
Coefficient of variation (CV)-4.291629291
Kurtosis14.47173999
Mean-51499.45974
Median Absolute Deviation (MAD)0
Skewness-4.058531582
Sum-2.42974966 × 1010
Variance4.884833299 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:24.301267image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0414263
74.6%
-99999924298
 
4.4%
75187
 
0.9%
45071
 
0.9%
54034
 
0.7%
63381
 
0.6%
81950
 
0.4%
91603
 
0.3%
101323
 
0.2%
111105
 
0.2%
Other values (266)9586
 
1.7%
(Missing)83232
 
15.0%
ValueCountFrequency (%)
-99999924298
 
4.4%
0414263
74.6%
45071
 
0.9%
54034
 
0.7%
63381
 
0.6%
ValueCountFrequency (%)
77714
< 0.1%
7671
 
< 0.1%
7631
 
< 0.1%
7511
 
< 0.1%
7171
 
< 0.1%

icu_patients_confirmed_influenza_7_day_sum
Real number (ℝ)

MISSING
ZEROS

Distinct87
Distinct (%)< 0.1%
Missing83473
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean-17933.93692
Minimum-999999
Maximum224
Zeros456236
Zeros (%)82.2%
Negative8457
Negative (%)1.5%
Memory size4.2 MiB
2022-10-26T03:04:24.611758image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum224
Range1000223
Interquartile range (IQR)0

Descriptive statistics

Standard deviation132711.9682
Coefficient of variation (CV)-7.400046557
Kurtosis50.77853837
Mean-17933.93692
Median Absolute Deviation (MAD)0
Skewness-7.264869097
Sum-8456927294
Variance1.761246649 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:24.863398image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0456236
82.2%
-9999998457
 
1.5%
71768
 
0.3%
41430
 
0.3%
51031
 
0.2%
6858
 
0.2%
8271
 
< 0.1%
9225
 
< 0.1%
14213
 
< 0.1%
10175
 
< 0.1%
Other values (77)896
 
0.2%
(Missing)83473
 
15.0%
ValueCountFrequency (%)
-9999998457
 
1.5%
0456236
82.2%
41430
 
0.3%
51031
 
0.2%
6858
 
0.2%
ValueCountFrequency (%)
2246
< 0.1%
2191
 
< 0.1%
2181
 
< 0.1%
2101
 
< 0.1%
2071
 
< 0.1%
Distinct256
Distinct (%)0.1%
Missing176217
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean-15083.46498
Minimum-999999
Maximum692
Zeros366124
Zeros (%)66.0%
Negative5714
Negative (%)1.0%
Memory size4.2 MiB
2022-10-26T03:04:25.111717image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum692
Range1000691
Interquartile range (IQR)0

Descriptive statistics

Standard deviation121886.5799
Coefficient of variation (CV)-8.080807693
Kurtosis61.31225437
Mean-15083.46498
Median Absolute Deviation (MAD)0
Skewness-7.956879442
Sum-5713857871
Variance1.485633835 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:25.418999image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0366124
66.0%
-9999995714
 
1.0%
71417
 
0.3%
41177
 
0.2%
5887
 
0.2%
6773
 
0.1%
8265
 
< 0.1%
9213
 
< 0.1%
14196
 
< 0.1%
10172
 
< 0.1%
Other values (246)1878
 
0.3%
(Missing)176217
31.7%
ValueCountFrequency (%)
-9999995714
 
1.0%
0366124
66.0%
41177
 
0.2%
5887
 
0.2%
6773
 
0.1%
ValueCountFrequency (%)
6921
< 0.1%
6581
< 0.1%
6521
< 0.1%
6021
< 0.1%
5031
< 0.1%

total_beds_7_day_coverage
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.994090441
Minimum0
Maximum7
Zeros68559
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:25.671548image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.357539854
Coefficient of variation (CV)0.3933106911
Kurtosis2.35234831
Mean5.994090441
Median Absolute Deviation (MAD)0
Skewness-2.054678055
Sum3326918
Variance5.557994164
MonotonicityNot monotonic
2022-10-26T03:04:25.848365image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7455768
82.1%
068559
 
12.4%
611585
 
2.1%
57031
 
1.3%
44017
 
0.7%
13183
 
0.6%
32846
 
0.5%
22044
 
0.4%
ValueCountFrequency (%)
068559
12.4%
13183
 
0.6%
22044
 
0.4%
32846
 
0.5%
44017
 
0.7%
ValueCountFrequency (%)
7455768
82.1%
611585
 
2.1%
57031
 
1.3%
44017
 
0.7%
32846
 
0.5%

all_adult_hospital_beds_7_day_coverage
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.915269903
Minimum0
Maximum7
Zeros75138
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:26.060729image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.442744126
Coefficient of variation (CV)0.4129556496
Kurtosis1.820485275
Mean5.915269903
Median Absolute Deviation (MAD)0
Skewness-1.926711094
Sum3283170
Variance5.966998863
MonotonicityNot monotonic
2022-10-26T03:04:26.577070image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7450454
81.2%
075138
 
13.5%
611176
 
2.0%
56501
 
1.2%
43734
 
0.7%
13283
 
0.6%
32718
 
0.5%
22029
 
0.4%
ValueCountFrequency (%)
075138
13.5%
13283
 
0.6%
22029
 
0.4%
32718
 
0.5%
43734
 
0.7%
ValueCountFrequency (%)
7450454
81.2%
611176
 
2.0%
56501
 
1.2%
43734
 
0.7%
32718
 
0.5%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8609398
Minimum0
Maximum7
Zeros5585
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:26.763130image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.835157208
Coefficient of variation (CV)0.1217263571
Kurtosis51.53373718
Mean6.8609398
Median Absolute Deviation (MAD)0
Skewness-7.068632461
Sum3808048
Variance0.6974875621
MonotonicityNot monotonic
2022-10-26T03:04:26.956228image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7531831
95.8%
68738
 
1.6%
05585
 
1.0%
53735
 
0.7%
41973
 
0.4%
11266
 
0.2%
31160
 
0.2%
2745
 
0.1%
ValueCountFrequency (%)
05585
1.0%
11266
 
0.2%
2745
 
0.1%
31160
 
0.2%
41973
 
0.4%
ValueCountFrequency (%)
7531831
95.8%
68738
 
1.6%
53735
 
0.7%
41973
 
0.4%
31160
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.91702115
Minimum0
Maximum7
Zeros878
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:27.130354image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5453667391
Coefficient of variation (CV)0.07884416244
Kurtosis85.95591739
Mean6.91702115
Median Absolute Deviation (MAD)0
Skewness-8.697002088
Sum3839175
Variance0.2974248802
MonotonicityNot monotonic
2022-10-26T03:04:27.301040image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7535352
96.5%
69203
 
1.7%
54298
 
0.8%
42108
 
0.4%
31338
 
0.2%
11155
 
0.2%
0878
 
0.2%
2701
 
0.1%
ValueCountFrequency (%)
0878
0.2%
11155
0.2%
2701
 
0.1%
31338
0.2%
42108
0.4%
ValueCountFrequency (%)
7535352
96.5%
69203
 
1.7%
54298
 
0.8%
42108
 
0.4%
31338
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.885284298
Minimum0
Maximum7
Zeros3328
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:27.485193image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7188158459
Coefficient of variation (CV)0.1043988621
Kurtosis64.33179245
Mean6.885284298
Median Absolute Deviation (MAD)0
Skewness-7.763342293
Sum3821560
Variance0.5166962203
MonotonicityNot monotonic
2022-10-26T03:04:27.646092image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7533034
96.0%
69162
 
1.7%
54053
 
0.7%
03328
 
0.6%
42102
 
0.4%
11297
 
0.2%
31266
 
0.2%
2791
 
0.1%
ValueCountFrequency (%)
03328
0.6%
11297
 
0.2%
2791
 
0.1%
31266
 
0.2%
42102
0.4%
ValueCountFrequency (%)
7533034
96.0%
69162
 
1.7%
54053
 
0.7%
42102
 
0.4%
31266
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.922597395
Minimum0
Maximum7
Zeros515
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:27.838051image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5134361737
Coefficient of variation (CV)0.07416814013
Kurtosis88.82085773
Mean6.922597395
Median Absolute Deviation (MAD)0
Skewness-8.810024975
Sum3842270
Variance0.2636167044
MonotonicityNot monotonic
2022-10-26T03:04:27.995106image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7535896
96.6%
69290
 
1.7%
54136
 
0.7%
42049
 
0.4%
31212
 
0.2%
11124
 
0.2%
2811
 
0.1%
0515
 
0.1%
ValueCountFrequency (%)
0515
 
0.1%
11124
0.2%
2811
 
0.1%
31212
0.2%
42049
0.4%
ValueCountFrequency (%)
7535896
96.6%
69290
 
1.7%
54136
 
0.7%
42049
 
0.4%
31212
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.900481593
Minimum0
Maximum7
Zeros2372
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:28.158185image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6501025241
Coefficient of variation (CV)0.09421118155
Kurtosis75.05475344
Mean6.900481593
Median Absolute Deviation (MAD)0
Skewness-8.308657031
Sum3829995
Variance0.4226332919
MonotonicityNot monotonic
2022-10-26T03:04:28.340989image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534496
96.3%
69176
 
1.7%
53850
 
0.7%
02372
 
0.4%
41950
 
0.4%
31211
 
0.2%
11172
 
0.2%
2806
 
0.1%
ValueCountFrequency (%)
02372
0.4%
11172
0.2%
2806
 
0.1%
31211
0.2%
41950
0.4%
ValueCountFrequency (%)
7534496
96.3%
69176
 
1.7%
53850
 
0.7%
41950
 
0.4%
31211
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.895447658
Minimum0
Maximum7
Zeros2724
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:28.541506image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6751632976
Coefficient of variation (CV)0.09791435322
Kurtosis71.22967646
Mean6.895447658
Median Absolute Deviation (MAD)0
Skewness-8.126742686
Sum3827201
Variance0.4558454785
MonotonicityNot monotonic
2022-10-26T03:04:28.715698image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534077
96.2%
69164
 
1.7%
53886
 
0.7%
02724
 
0.5%
41944
 
0.4%
11205
 
0.2%
31201
 
0.2%
2832
 
0.1%
ValueCountFrequency (%)
02724
0.5%
11205
0.2%
2832
 
0.1%
31201
0.2%
41944
0.4%
ValueCountFrequency (%)
7534077
96.2%
69164
 
1.7%
53886
 
0.7%
41944
 
0.4%
31201
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.897643924
Minimum0
Maximum7
Zeros2531
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:28.936808image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.662126005
Coefficient of variation (CV)0.0959930684
Kurtosis72.97707223
Mean6.897643924
Median Absolute Deviation (MAD)0
Skewness-8.203512432
Sum3828420
Variance0.4384108465
MonotonicityNot monotonic
2022-10-26T03:04:29.140638image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534114
96.2%
69242
 
1.7%
53968
 
0.7%
02531
 
0.5%
41979
 
0.4%
31202
 
0.2%
11186
 
0.2%
2811
 
0.1%
ValueCountFrequency (%)
02531
0.5%
11186
0.2%
2811
 
0.1%
31202
0.2%
41979
0.4%
ValueCountFrequency (%)
7534114
96.2%
69242
 
1.7%
53968
 
0.7%
41979
 
0.4%
31202
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.884437502
Minimum0
Maximum7
Zeros3131
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:29.324225image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7120867439
Coefficient of variation (CV)0.1034342666
Kurtosis63.70649908
Mean6.884437502
Median Absolute Deviation (MAD)0
Skewness-7.694347313
Sum3821090
Variance0.5070675309
MonotonicityNot monotonic
2022-10-26T03:04:29.514815image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7532474
95.9%
69229
 
1.7%
54280
 
0.8%
03131
 
0.6%
42550
 
0.5%
31284
 
0.2%
11224
 
0.2%
2861
 
0.2%
ValueCountFrequency (%)
03131
0.6%
11224
 
0.2%
2861
 
0.2%
31284
0.2%
42550
0.5%
ValueCountFrequency (%)
7532474
95.9%
69229
 
1.7%
54280
 
0.8%
42550
 
0.5%
31284
 
0.2%

inpatient_beds_7_day_coverage
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.907054175
Minimum0
Maximum7
Zeros1730
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:29.687752image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6076469092
Coefficient of variation (CV)0.08797482889
Kurtosis80.04291381
Mean6.907054175
Median Absolute Deviation (MAD)0
Skewness-8.495118294
Sum3833643
Variance0.3692347663
MonotonicityNot monotonic
2022-10-26T03:04:29.873089image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534733
96.3%
69066
 
1.6%
54280
 
0.8%
42115
 
0.4%
01730
 
0.3%
31217
 
0.2%
11179
 
0.2%
2713
 
0.1%
ValueCountFrequency (%)
01730
0.3%
11179
0.2%
2713
 
0.1%
31217
0.2%
42115
0.4%
ValueCountFrequency (%)
7534733
96.3%
69066
 
1.6%
54280
 
0.8%
42115
 
0.4%
31217
 
0.2%

total_icu_beds_7_day_coverage
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.904012915
Minimum0
Maximum7
Zeros2069
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:30.081437image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6280408119
Coefficient of variation (CV)0.09096750248
Kurtosis78.13298691
Mean6.904012915
Median Absolute Deviation (MAD)0
Skewness-8.432144711
Sum3831955
Variance0.3944352615
MonotonicityNot monotonic
2022-10-26T03:04:30.260889image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534618
96.3%
69097
 
1.6%
54139
 
0.7%
02069
 
0.4%
42052
 
0.4%
31197
 
0.2%
11169
 
0.2%
2692
 
0.1%
ValueCountFrequency (%)
02069
0.4%
11169
0.2%
2692
 
0.1%
31197
0.2%
42052
0.4%
ValueCountFrequency (%)
7534618
96.3%
69097
 
1.6%
54139
 
0.7%
42052
 
0.4%
31197
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.843137255
Minimum0
Maximum7
Zeros7027
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:30.454917image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9050953736
Coefficient of variation (CV)0.1322632208
Kurtosis44.63178672
Mean6.843137255
Median Absolute Deviation (MAD)0
Skewness-6.630172376
Sum3798167
Variance0.8191976354
MonotonicityNot monotonic
2022-10-26T03:04:30.608566image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7530509
95.6%
68715
 
1.6%
07027
 
1.3%
53682
 
0.7%
41916
 
0.3%
11288
 
0.2%
31160
 
0.2%
2736
 
0.1%
ValueCountFrequency (%)
07027
1.3%
11288
 
0.2%
2736
 
0.1%
31160
 
0.2%
41916
 
0.3%
ValueCountFrequency (%)
7530509
95.6%
68715
 
1.6%
53682
 
0.7%
41916
 
0.3%
31160
 
0.2%

icu_beds_used_7_day_coverage
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.907908178
Minimum0
Maximum7
Zeros1653
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:30.812674image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6020374121
Coefficient of variation (CV)0.08715191292
Kurtosis80.86939003
Mean6.907908178
Median Absolute Deviation (MAD)0
Skewness-8.529746068
Sum3834117
Variance0.3624490455
MonotonicityNot monotonic
2022-10-26T03:04:30.983083image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534665
96.3%
69261
 
1.7%
54284
 
0.8%
42045
 
0.4%
01653
 
0.3%
31230
 
0.2%
11184
 
0.2%
2711
 
0.1%
ValueCountFrequency (%)
01653
0.3%
11184
0.2%
2711
 
0.1%
31230
0.2%
42045
0.4%
ValueCountFrequency (%)
7534665
96.3%
69261
 
1.7%
54284
 
0.8%
42045
 
0.4%
31230
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.857383255
Minimum0
Maximum7
Zeros5787
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:31.215519image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.846068789
Coefficient of variation (CV)0.1233807063
Kurtosis50.20974411
Mean6.857383255
Median Absolute Deviation (MAD)0
Skewness-6.981144961
Sum3806074
Variance0.7158323958
MonotonicityNot monotonic
2022-10-26T03:04:31.394021image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7531239
95.7%
68966
 
1.6%
05787
 
1.0%
53896
 
0.7%
41932
 
0.3%
11256
 
0.2%
31227
 
0.2%
2730
 
0.1%
ValueCountFrequency (%)
05787
1.0%
11256
 
0.2%
2730
 
0.1%
31227
 
0.2%
41932
 
0.3%
ValueCountFrequency (%)
7531239
95.7%
68966
 
1.6%
53896
 
0.7%
41932
 
0.3%
31227
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.879457618
Minimum0
Maximum7
Zeros4265
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:31.624911image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7580650127
Coefficient of variation (CV)0.1101925551
Kurtosis61.20537787
Mean6.879457618
Median Absolute Deviation (MAD)0
Skewness-7.632939136
Sum3818326
Variance0.5746625635
MonotonicityNot monotonic
2022-10-26T03:04:31.797988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7533207
96.1%
68922
 
1.6%
04265
 
0.8%
53777
 
0.7%
41869
 
0.3%
11171
 
0.2%
31169
 
0.2%
2653
 
0.1%
ValueCountFrequency (%)
04265
0.8%
11171
 
0.2%
2653
 
0.1%
31169
 
0.2%
41869
0.3%
ValueCountFrequency (%)
7533207
96.1%
68922
 
1.6%
53777
 
0.7%
41869
 
0.3%
31169
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.876955064
Minimum0
Maximum7
Zeros4461
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:32.002532image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7697148301
Coefficient of variation (CV)0.1119266918
Kurtosis59.68010025
Mean6.876955064
Median Absolute Deviation (MAD)0
Skewness-7.550116999
Sum3816937
Variance0.5924609196
MonotonicityNot monotonic
2022-10-26T03:04:32.198063image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7533064
96.0%
68891
 
1.6%
04461
 
0.8%
53752
 
0.7%
41823
 
0.3%
31185
 
0.2%
11178
 
0.2%
2679
 
0.1%
ValueCountFrequency (%)
04461
0.8%
11178
 
0.2%
2679
 
0.1%
31185
 
0.2%
41823
0.3%
ValueCountFrequency (%)
7533064
96.0%
68891
 
1.6%
53752
 
0.7%
41823
 
0.3%
31185
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.821587185
Minimum0
Maximum7
Zeros83232
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:32.417965image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.541770303
Coefficient of variation (CV)0.4366112234
Kurtosis1.265700494
Mean5.821587185
Median Absolute Deviation (MAD)0
Skewness-1.783612378
Sum3231173
Variance6.460596274
MonotonicityNot monotonic
2022-10-26T03:04:32.608547image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7446049
80.4%
083232
 
15.0%
69522
 
1.7%
44050
 
0.7%
53703
 
0.7%
32915
 
0.5%
12886
 
0.5%
22676
 
0.5%
ValueCountFrequency (%)
083232
15.0%
12886
 
0.5%
22676
 
0.5%
32915
 
0.5%
44050
 
0.7%
ValueCountFrequency (%)
7446049
80.4%
69522
 
1.7%
53703
 
0.7%
44050
 
0.7%
32915
 
0.5%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.819691802
Minimum0
Maximum7
Zeros83473
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:32.829026image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.544203502
Coefficient of variation (CV)0.4371715185
Kurtosis1.25491408
Mean5.819691802
Median Absolute Deviation (MAD)0
Skewness-1.78082814
Sum3230121
Variance6.472971462
MonotonicityNot monotonic
2022-10-26T03:04:33.017477image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7446094
80.4%
083473
 
15.0%
69326
 
1.7%
44045
 
0.7%
53697
 
0.7%
32899
 
0.5%
12853
 
0.5%
22646
 
0.5%
ValueCountFrequency (%)
083473
15.0%
12853
 
0.5%
22646
 
0.5%
32899
 
0.5%
44045
 
0.7%
ValueCountFrequency (%)
7446094
80.4%
69326
 
1.7%
53697
 
0.7%
44045
 
0.7%
32899
 
0.5%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.579583556
Minimum0
Maximum7
Zeros176217
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:33.228138image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.24346947
Coefficient of variation (CV)0.7082455053
Kurtosis-1.527312817
Mean4.579583556
Median Absolute Deviation (MAD)0
Skewness-0.6534951133
Sum2541820
Variance10.5200942
MonotonicityNot monotonic
2022-10-26T03:04:33.334066image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7343120
61.8%
0176217
31.7%
610166
 
1.8%
56046
 
1.1%
15699
 
1.0%
45598
 
1.0%
34289
 
0.8%
23898
 
0.7%
ValueCountFrequency (%)
0176217
31.7%
15699
 
1.0%
23898
 
0.7%
34289
 
0.8%
45598
 
1.0%
ValueCountFrequency (%)
7343120
61.8%
610166
 
1.8%
56046
 
1.1%
45598
 
1.0%
34289
 
0.8%
Distinct456
Distinct (%)0.1%
Missing1446
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-209090.8567
Minimum-999999
Maximum1075
Zeros199895
Zeros (%)36.0%
Negative115755
Negative (%)20.9%
Memory size4.2 MiB
2022-10-26T03:04:33.549227image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q310
95-th percentile41
Maximum1075
Range1001074
Interquartile range (IQR)10

Descriptive statistics

Standard deviation406670.4063
Coefficient of variation (CV)-1.944945909
Kurtosis0.04679596654
Mean-209090.8567
Median Absolute Deviation (MAD)8
Skewness-1.430662707
Sum-1.157499801 × 1011
Variance1.653808194 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:33.814384image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0199895
36.0%
-999999115755
20.9%
423315
 
4.2%
519180
 
3.5%
616845
 
3.0%
715083
 
2.7%
812446
 
2.2%
910933
 
2.0%
109898
 
1.8%
118749
 
1.6%
Other values (446)121488
21.9%
ValueCountFrequency (%)
-999999115755
20.9%
0199895
36.0%
423315
 
4.2%
519180
 
3.5%
616845
 
3.0%
ValueCountFrequency (%)
10751
< 0.1%
9601
< 0.1%
7321
< 0.1%
7121
< 0.1%
7051
< 0.1%
Distinct58
Distinct (%)< 0.1%
Missing11457
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean-41000.63248
Minimum-999999
Maximum2730
Zeros520415
Zeros (%)93.8%
Negative22287
Negative (%)4.0%
Memory size4.2 MiB
2022-10-26T03:04:34.107206image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2730
Range1002729
Interquartile range (IQR)0

Descriptive statistics

Standard deviation198291.8176
Coefficient of variation (CV)-4.836311189
Kurtosis19.43276705
Mean-41000.63248
Median Absolute Deviation (MAD)0
Skewness-4.629545932
Sum-2.22869598 × 1010
Variance3.931964493 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:34.398808image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0520415
93.8%
-99999922287
 
4.0%
4350
 
0.1%
5132
 
< 0.1%
691
 
< 0.1%
750
 
< 0.1%
1231
 
< 0.1%
829
 
< 0.1%
1025
 
< 0.1%
919
 
< 0.1%
Other values (48)147
 
< 0.1%
(Missing)11457
 
2.1%
ValueCountFrequency (%)
-99999922287
 
4.0%
0520415
93.8%
4350
 
0.1%
5132
 
< 0.1%
691
 
< 0.1%
ValueCountFrequency (%)
27301
 
< 0.1%
23731
 
< 0.1%
10631
 
< 0.1%
3961
 
< 0.1%
28512
< 0.1%
Distinct61
Distinct (%)< 0.1%
Missing17482
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean-174972.7448
Minimum-999999
Maximum80
Zeros423784
Zeros (%)76.4%
Negative94057
Negative (%)16.9%
Memory size4.2 MiB
2022-10-26T03:04:34.644143image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum80
Range1000079
Interquartile range (IQR)0

Descriptive statistics

Standard deviation379944.2361
Coefficient of variation (CV)-2.171448111
Kurtosis0.9272636559
Mean-174972.7448
Median Absolute Deviation (MAD)0
Skewness-1.710923787
Sum-9.405677392 × 1010
Variance1.443576225 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:34.909689image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0423784
76.4%
-99999994057
 
16.9%
46676
 
1.2%
54008
 
0.7%
62575
 
0.5%
71908
 
0.3%
81093
 
0.2%
9756
 
0.1%
10591
 
0.1%
11423
 
0.1%
Other values (51)1680
 
0.3%
(Missing)17482
 
3.1%
ValueCountFrequency (%)
-99999994057
 
16.9%
0423784
76.4%
46676
 
1.2%
54008
 
0.7%
62575
 
0.5%
ValueCountFrequency (%)
805
< 0.1%
751
 
< 0.1%
691
 
< 0.1%
682
 
< 0.1%
661
 
< 0.1%
Distinct75
Distinct (%)< 0.1%
Missing17219
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean-202997.0657
Minimum-999999
Maximum117
Zeros396449
Zeros (%)71.4%
Negative109175
Negative (%)19.7%
Memory size4.2 MiB
2022-10-26T03:04:35.181421image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile4
Maximum117
Range1000116
Interquartile range (IQR)0

Descriptive statistics

Standard deviation402230.9993
Coefficient of variation (CV)-1.981462135
Kurtosis0.1808787614
Mean-202997.0657
Median Absolute Deviation (MAD)0
Skewness-1.476779634
Sum-1.091746639 × 1011
Variance1.617897768 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:35.478843image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0396449
71.4%
-999999109175
 
19.7%
410003
 
1.8%
56283
 
1.1%
64165
 
0.8%
72982
 
0.5%
82030
 
0.4%
91478
 
0.3%
101072
 
0.2%
11783
 
0.1%
Other values (65)3394
 
0.6%
(Missing)17219
 
3.1%
ValueCountFrequency (%)
-999999109175
 
19.7%
0396449
71.4%
410003
 
1.8%
56283
 
1.1%
64165
 
0.8%
ValueCountFrequency (%)
1171
< 0.1%
942
< 0.1%
831
< 0.1%
821
< 0.1%
751
< 0.1%
Distinct96
Distinct (%)< 0.1%
Missing17033
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean-221298.4946
Minimum-999999
Maximum147
Zeros378872
Zeros (%)68.3%
Negative119059
Negative (%)21.5%
Memory size4.2 MiB
2022-10-26T03:04:35.741648image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile5
Maximum147
Range1000146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation415121.802
Coefficient of variation (CV)-1.875845576
Kurtosis-0.1970322979
Mean-221298.4946
Median Absolute Deviation (MAD)0
Skewness-1.342746601
Sum-1.190585901 × 1011
Variance1.723261105 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:35.962517image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0378872
68.3%
-999999119059
 
21.5%
411821
 
2.1%
57666
 
1.4%
65287
 
1.0%
73814
 
0.7%
82584
 
0.5%
91830
 
0.3%
101445
 
0.3%
111061
 
0.2%
Other values (86)4561
 
0.8%
(Missing)17033
 
3.1%
ValueCountFrequency (%)
-999999119059
 
21.5%
0378872
68.3%
411821
 
2.1%
57666
 
1.4%
65287
 
1.0%
ValueCountFrequency (%)
1471
 
< 0.1%
1463
< 0.1%
1452
< 0.1%
1401
 
< 0.1%
1211
 
< 0.1%
Distinct122
Distinct (%)< 0.1%
Missing16289
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean-246999.1611
Minimum-999999
Maximum209
Zeros339083
Zeros (%)61.1%
Negative133070
Negative (%)24.0%
Memory size4.2 MiB
2022-10-26T03:04:36.246670image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile7
Maximum209
Range1000208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation431267.5461
Coefficient of variation (CV)-1.746028384
Kurtosis-0.6233967036
Mean-246999.1611
Median Absolute Deviation (MAD)0
Skewness-1.173288375
Sum-1.33069316 × 1011
Variance1.859916963 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:36.952319image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0339083
61.1%
-999999133070
 
24.0%
416432
 
3.0%
511497
 
2.1%
68301
 
1.5%
76368
 
1.1%
84621
 
0.8%
93466
 
0.6%
102760
 
0.5%
112162
 
0.4%
Other values (112)10984
 
2.0%
(Missing)16289
 
2.9%
ValueCountFrequency (%)
-999999133070
 
24.0%
0339083
61.1%
416432
 
3.0%
511497
 
2.1%
68301
 
1.5%
ValueCountFrequency (%)
2092
< 0.1%
2081
 
< 0.1%
2071
 
< 0.1%
2062
< 0.1%
1643
< 0.1%
Distinct133
Distinct (%)< 0.1%
Missing15454
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean-261774.618
Minimum-999999
Maximum184
Zeros311516
Zeros (%)56.1%
Negative141249
Negative (%)25.4%
Memory size4.2 MiB
2022-10-26T03:04:37.257967image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q30
95-th percentile9
Maximum184
Range1000183
Interquartile range (IQR)999999

Descriptive statistics

Standard deviation439602.3144
Coefficient of variation (CV)-1.679316038
Kurtosis-0.8253381978
Mean-261774.618
Median Absolute Deviation (MAD)0
Skewness-1.08381957
Sum-1.412480866 × 1011
Variance1.932501948 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:37.479577image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0311516
56.1%
-999999141249
25.4%
419328
 
3.5%
513824
 
2.5%
610261
 
1.8%
78317
 
1.5%
86060
 
1.1%
94733
 
0.9%
103779
 
0.7%
113048
 
0.5%
Other values (123)17464
 
3.1%
(Missing)15454
 
2.8%
ValueCountFrequency (%)
-999999141249
25.4%
0311516
56.1%
419328
 
3.5%
513824
 
2.5%
610261
 
1.8%
ValueCountFrequency (%)
1841
< 0.1%
1621
< 0.1%
1591
< 0.1%
1541
< 0.1%
1511
< 0.1%
Distinct140
Distinct (%)< 0.1%
Missing15248
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean-264687.0194
Minimum-999999
Maximum322
Zeros309356
Zeros (%)55.7%
Negative142875
Negative (%)25.7%
Memory size4.2 MiB
2022-10-26T03:04:37.724208image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q30
95-th percentile9
Maximum322
Range1000321
Interquartile range (IQR)999999

Descriptive statistics

Standard deviation441168.1444
Coefficient of variation (CV)-1.666753985
Kurtosis-0.8620058675
Mean-264687.0194
Median Absolute Deviation (MAD)0
Skewness-1.066769575
Sum-1.428740827 × 1011
Variance1.946293316 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:37.961980image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0309356
55.7%
-999999142875
25.7%
419631
 
3.5%
513983
 
2.5%
610470
 
1.9%
78357
 
1.5%
86164
 
1.1%
94853
 
0.9%
103931
 
0.7%
113073
 
0.6%
Other values (130)17092
 
3.1%
(Missing)15248
 
2.7%
ValueCountFrequency (%)
-999999142875
25.7%
0309356
55.7%
419631
 
3.5%
513983
 
2.5%
610470
 
1.9%
ValueCountFrequency (%)
3221
 
< 0.1%
2311
 
< 0.1%
2021
 
< 0.1%
1963
< 0.1%
1953
< 0.1%
Distinct130
Distinct (%)< 0.1%
Missing17273
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean-260428.7727
Minimum-999999
Maximum252
Zeros319054
Zeros (%)57.5%
Negative140049
Negative (%)25.2%
Memory size4.2 MiB
2022-10-26T03:04:38.267934image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q1-999999
median0
Q30
95-th percentile8
Maximum252
Range1000251
Interquartile range (IQR)999999

Descriptive statistics

Standard deviation438870.1347
Coefficient of variation (CV)-1.685182978
Kurtosis-0.808059821
Mean-260428.7727
Median Absolute Deviation (MAD)0
Skewness-1.091761505
Sum-1.400481768 × 1011
Variance1.926069952 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:38.563066image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0319054
57.5%
-999999140049
25.2%
418151
 
3.3%
512734
 
2.3%
69532
 
1.7%
77728
 
1.4%
85492
 
1.0%
94336
 
0.8%
103332
 
0.6%
112624
 
0.5%
Other values (120)14728
 
2.7%
(Missing)17273
 
3.1%
ValueCountFrequency (%)
-999999140049
25.2%
0319054
57.5%
418151
 
3.3%
512734
 
2.3%
69532
 
1.7%
ValueCountFrequency (%)
2521
 
< 0.1%
2004
< 0.1%
1971
 
< 0.1%
1811
 
< 0.1%
1661
 
< 0.1%
Distinct294
Distinct (%)0.1%
Missing7550
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean-21766.48868
Minimum-999999
Maximum793
Zeros527141
Zeros (%)95.0%
Negative11917
Negative (%)2.1%
Memory size4.2 MiB
2022-10-26T03:04:38.898419image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum793
Range1000792
Interquartile range (IQR)0

Descriptive statistics

Standard deviation145921.5587
Coefficient of variation (CV)-6.703954911
Kurtosis40.96398039
Mean-21766.48868
Median Absolute Deviation (MAD)0
Skewness-6.554680056
Sum-1.191678252 × 1010
Variance2.129310129 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:39.186080image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0527141
95.0%
-99999911917
 
2.1%
41181
 
0.2%
5764
 
0.1%
6674
 
0.1%
7611
 
0.1%
8407
 
0.1%
9382
 
0.1%
10353
 
0.1%
11274
 
< 0.1%
Other values (284)3779
 
0.7%
(Missing)7550
 
1.4%
ValueCountFrequency (%)
-99999911917
 
2.1%
0527141
95.0%
41181
 
0.2%
5764
 
0.1%
6674
 
0.1%
ValueCountFrequency (%)
7931
< 0.1%
7841
< 0.1%
7601
< 0.1%
7321
< 0.1%
7121
< 0.1%
Distinct98
Distinct (%)< 0.1%
Missing6976
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean-55855.24579
Minimum-999999
Maximum145
Zeros506262
Zeros (%)91.2%
Negative30612
Negative (%)5.5%
Memory size4.2 MiB
2022-10-26T03:04:39.501421image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum145
Range1000144
Interquartile range (IQR)0

Descriptive statistics

Standard deviation229642.505
Coefficient of variation (CV)-4.111386527
Kurtosis12.96262768
Mean-55855.24579
Median Absolute Deviation (MAD)0
Skewness-3.868149476
Sum-3.061185844 × 1010
Variance5.273568011 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:39.796293image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0506262
91.2%
-99999930612
 
5.5%
42508
 
0.5%
51581
 
0.3%
61312
 
0.2%
71092
 
0.2%
8732
 
0.1%
9588
 
0.1%
10469
 
0.1%
11365
 
0.1%
Other values (88)2536
 
0.5%
(Missing)6976
 
1.3%
ValueCountFrequency (%)
-99999930612
 
5.5%
0506262
91.2%
42508
 
0.5%
51581
 
0.3%
61312
 
0.2%
ValueCountFrequency (%)
1451
< 0.1%
1411
< 0.1%
1321
< 0.1%
1171
< 0.1%
1161
< 0.1%

previous_day_covid_ED_visits_7_day_sum
Real number (ℝ)

MISSING
ZEROS

Distinct1785
Distinct (%)0.3%
Missing5922
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean-70649.78042
Minimum-999999
Maximum7473
Zeros118533
Zeros (%)21.4%
Negative38833
Negative (%)7.0%
Memory size4.2 MiB
2022-10-26T03:04:40.096464image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median23
Q381
95-th percentile294
Maximum7473
Range1007472
Interquartile range (IQR)81

Descriptive statistics

Standard deviation256375.454
Coefficient of variation (CV)-3.628821667
Kurtosis9.216508751
Mean-70649.78042
Median Absolute Deviation (MAD)23
Skewness-3.349100031
Sum-3.879457158 × 1010
Variance6.572837341 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:40.410222image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0118533
 
21.4%
-99999938833
 
7.0%
49476
 
1.7%
58443
 
1.5%
67966
 
1.4%
77563
 
1.4%
86964
 
1.3%
96634
 
1.2%
106371
 
1.1%
116096
 
1.1%
Other values (1775)332232
59.9%
ValueCountFrequency (%)
-99999938833
 
7.0%
0118533
21.4%
49476
 
1.7%
58443
 
1.5%
67966
 
1.4%
ValueCountFrequency (%)
74731
< 0.1%
47131
< 0.1%
46881
< 0.1%
46501
< 0.1%
46411
< 0.1%
Distinct546
Distinct (%)0.1%
Missing1528
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-146356.8295
Minimum-999999
Maximum4005
Zeros348148
Zeros (%)62.7%
Negative81013
Negative (%)14.6%
Memory size4.2 MiB
2022-10-26T03:04:40.653402image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile36
Maximum4005
Range1004004
Interquartile range (IQR)0

Descriptive statistics

Standard deviation353473.1117
Coefficient of variation (CV)-2.415146002
Kurtosis2.003786374
Mean-146356.8295
Median Absolute Deviation (MAD)0
Skewness-2.000944544
Sum-8.100923692 × 1010
Variance1.249432407 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:40.867215image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0348148
62.7%
-99999981013
 
14.6%
412368
 
2.2%
59716
 
1.8%
67898
 
1.4%
76775
 
1.2%
85754
 
1.0%
95017
 
0.9%
104371
 
0.8%
113794
 
0.7%
Other values (536)68651
 
12.4%
ValueCountFrequency (%)
-99999981013
 
14.6%
0348148
62.7%
412368
 
2.2%
59716
 
1.8%
67898
 
1.4%
ValueCountFrequency (%)
40051
< 0.1%
39971
< 0.1%
39931
< 0.1%
39921
< 0.1%
39601
< 0.1%
Distinct41
Distinct (%)< 0.1%
Missing11615
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean-33589.18659
Minimum-999999
Maximum184
Zeros523580
Zeros (%)94.3%
Negative18253
Negative (%)3.3%
Memory size4.2 MiB
2022-10-26T03:04:41.150669image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum184
Range1000183
Interquartile range (IQR)0

Descriptive statistics

Standard deviation180169.3744
Coefficient of variation (CV)-5.363910018
Kurtosis24.80643081
Mean-33589.18659
Median Absolute Deviation (MAD)0
Skewness-5.177483898
Sum-1.82529686 × 1010
Variance3.246100348 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:41.436733image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0523580
94.3%
-99999918253
 
3.3%
4641
 
0.1%
5304
 
0.1%
6180
 
< 0.1%
7127
 
< 0.1%
883
 
< 0.1%
957
 
< 0.1%
1044
 
< 0.1%
1126
 
< 0.1%
Other values (31)123
 
< 0.1%
(Missing)11615
 
2.1%
ValueCountFrequency (%)
-99999918253
 
3.3%
0523580
94.3%
4641
 
0.1%
5304
 
0.1%
6180
 
< 0.1%
ValueCountFrequency (%)
1841
 
< 0.1%
1756
< 0.1%
1531
 
< 0.1%
1404
< 0.1%
1281
 
< 0.1%
Distinct105
Distinct (%)< 0.1%
Missing17567
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-95451.20462
Minimum-999999
Maximum431
Zeros468521
Zeros (%)84.4%
Negative51302
Negative (%)9.2%
Memory size4.2 MiB
2022-10-26T03:04:41.719672image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum431
Range1000430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation293837.8065
Coefficient of variation (CV)-3.078408572
Kurtosis5.58209879
Mean-95451.20462
Median Absolute Deviation (MAD)0
Skewness-2.753557339
Sum-5.130177714 × 1010
Variance8.634065655 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:42.003358image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0468521
84.4%
-99999951302
 
9.2%
44297
 
0.8%
52834
 
0.5%
62031
 
0.4%
71480
 
0.3%
81133
 
0.2%
9831
 
0.1%
10714
 
0.1%
11533
 
0.1%
Other values (95)3790
 
0.7%
(Missing)17567
 
3.2%
ValueCountFrequency (%)
-99999951302
 
9.2%
0468521
84.4%
44297
 
0.8%
52834
 
0.5%
62031
 
0.4%
ValueCountFrequency (%)
4311
 
< 0.1%
4304
< 0.1%
4251
 
< 0.1%
3442
< 0.1%
3411
 
< 0.1%
Distinct111
Distinct (%)< 0.1%
Missing17627
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-108182.0883
Minimum-999999
Maximum376
Zeros455295
Zeros (%)82.0%
Negative58138
Negative (%)10.5%
Memory size4.2 MiB
2022-10-26T03:04:42.316620image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum376
Range1000375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation310611.0739
Coefficient of variation (CV)-2.871187632
Kurtosis4.364984831
Mean-108182.0883
Median Absolute Deviation (MAD)0
Skewness-2.522888936
Sum-5.813770335 × 1010
Variance9.647923925 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:42.600108image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0455295
82.0%
-99999958138
 
10.5%
45556
 
1.0%
53721
 
0.7%
62725
 
0.5%
72069
 
0.4%
81485
 
0.3%
91277
 
0.2%
101020
 
0.2%
11834
 
0.2%
Other values (101)5286
 
1.0%
(Missing)17627
 
3.2%
ValueCountFrequency (%)
-99999958138
 
10.5%
0455295
82.0%
45556
 
1.0%
53721
 
0.7%
62725
 
0.5%
ValueCountFrequency (%)
3761
 
< 0.1%
3753
< 0.1%
3741
 
< 0.1%
3101
 
< 0.1%
3011
 
< 0.1%
Distinct106
Distinct (%)< 0.1%
Missing17426
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean-115548.5375
Minimum-999999
Maximum532
Zeros449256
Zeros (%)80.9%
Negative62120
Negative (%)11.2%
Memory size4.2 MiB
2022-10-26T03:04:42.889216image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum532
Range1000531
Interquartile range (IQR)0

Descriptive statistics

Standard deviation319683.5704
Coefficient of variation (CV)-2.766660466
Kurtosis3.785021692
Mean-115548.5375
Median Absolute Deviation (MAD)0
Skewness-2.405204276
Sum-6.211970257 × 1010
Variance1.021975852 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:43.208587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0449256
80.9%
-99999962120
 
11.2%
46153
 
1.1%
54260
 
0.8%
63167
 
0.6%
72537
 
0.5%
81804
 
0.3%
91357
 
0.2%
101177
 
0.2%
11858
 
0.2%
Other values (96)4918
 
0.9%
(Missing)17426
 
3.1%
ValueCountFrequency (%)
-99999962120
 
11.2%
0449256
80.9%
46153
 
1.1%
54260
 
0.8%
63167
 
0.6%
ValueCountFrequency (%)
5321
< 0.1%
5312
< 0.1%
5301
< 0.1%
5171
< 0.1%
4631
< 0.1%
Distinct127
Distinct (%)< 0.1%
Missing17014
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean-128726.8919
Minimum-999999
Maximum621
Zeros428391
Zeros (%)77.2%
Negative69258
Negative (%)12.5%
Memory size4.2 MiB
2022-10-26T03:04:43.509831image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile5
Maximum621
Range1000620
Interquartile range (IQR)0

Descriptive statistics

Standard deviation334898.6924
Coefficient of variation (CV)-2.601621834
Kurtosis2.916115196
Mean-128726.8919
Median Absolute Deviation (MAD)0
Skewness-2.217228981
Sum-6.925751363 × 1010
Variance1.121571342 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:43.762751image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0428391
77.2%
-99999969258
 
12.5%
47888
 
1.4%
55779
 
1.0%
64479
 
0.8%
73587
 
0.6%
82745
 
0.5%
92239
 
0.4%
101830
 
0.3%
111503
 
0.3%
Other values (117)10320
 
1.9%
(Missing)17014
 
3.1%
ValueCountFrequency (%)
-99999969258
 
12.5%
0428391
77.2%
47888
 
1.4%
55779
 
1.0%
64479
 
0.8%
ValueCountFrequency (%)
6211
< 0.1%
6191
< 0.1%
6181
< 0.1%
6171
< 0.1%
6151
< 0.1%
Distinct154
Distinct (%)< 0.1%
Missing16416
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean-135124.4352
Minimum-999999
Maximum579
Zeros413986
Zeros (%)74.6%
Negative72781
Negative (%)13.1%
Memory size4.2 MiB
2022-10-26T03:04:44.031981image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile8
Maximum579
Range1000578
Interquartile range (IQR)0

Descriptive statistics

Standard deviation341858.2094
Coefficient of variation (CV)-2.52995107
Kurtosis2.556788878
Mean-135124.4352
Median Absolute Deviation (MAD)0
Skewness-2.134661421
Sum-7.278031792 × 1010
Variance1.168670353 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:44.349828image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0413986
74.6%
-99999972781
 
13.1%
49026
 
1.6%
56412
 
1.2%
65127
 
0.9%
74178
 
0.8%
83304
 
0.6%
92847
 
0.5%
102511
 
0.5%
112130
 
0.4%
Other values (144)16315
 
2.9%
(Missing)16416
 
3.0%
ValueCountFrequency (%)
-99999972781
 
13.1%
0413986
74.6%
49026
 
1.6%
56412
 
1.2%
65127
 
0.9%
ValueCountFrequency (%)
5791
< 0.1%
5781
< 0.1%
5771
< 0.1%
5761
< 0.1%
5751
< 0.1%
Distinct144
Distinct (%)< 0.1%
Missing16566
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean-135357.1096
Minimum-999999
Maximum471
Zeros413943
Zeros (%)74.6%
Negative72886
Negative (%)13.1%
Memory size4.2 MiB
2022-10-26T03:04:44.656477image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile7
Maximum471
Range1000470
Interquartile range (IQR)0

Descriptive statistics

Standard deviation342106.3298
Coefficient of variation (CV)-2.527435248
Kurtosis2.544380633
Mean-135357.1096
Median Absolute Deviation (MAD)0
Skewness-2.131753077
Sum-7.288533672 × 1010
Variance1.170367409 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:44.936272image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0413943
74.6%
-99999972886
 
13.1%
49020
 
1.6%
56634
 
1.2%
65283
 
1.0%
74364
 
0.8%
83330
 
0.6%
92866
 
0.5%
102317
 
0.4%
111989
 
0.4%
Other values (134)15835
 
2.9%
(Missing)16566
 
3.0%
ValueCountFrequency (%)
-99999972886
 
13.1%
0413943
74.6%
49020
 
1.6%
56634
 
1.2%
65283
 
1.0%
ValueCountFrequency (%)
4712
< 0.1%
4702
< 0.1%
4641
< 0.1%
4611
< 0.1%
3771
< 0.1%
Distinct140
Distinct (%)< 0.1%
Missing18746
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean-132608.8428
Minimum-999999
Maximum820
Zeros417982
Zeros (%)75.3%
Negative71117
Negative (%)12.8%
Memory size4.2 MiB
2022-10-26T03:04:45.236462image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile7
Maximum820
Range1000819
Interquartile range (IQR)0

Descriptive statistics

Standard deviation339153.0754
Coefficient of variation (CV)-2.557544943
Kurtosis2.693831648
Mean-132608.8428
Median Absolute Deviation (MAD)0
Skewness-2.166522928
Sum-7.11163985 × 1010
Variance1.150248085 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:45.497896image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0417982
75.3%
-99999971117
 
12.8%
48620
 
1.6%
56384
 
1.2%
64880
 
0.9%
73953
 
0.7%
83040
 
0.5%
92536
 
0.5%
102157
 
0.4%
111825
 
0.3%
Other values (130)13793
 
2.5%
(Missing)18746
 
3.4%
ValueCountFrequency (%)
-99999971117
 
12.8%
0417982
75.3%
48620
 
1.6%
56384
 
1.2%
64880
 
0.9%
ValueCountFrequency (%)
8204
< 0.1%
8041
 
< 0.1%
7081
 
< 0.1%
6562
< 0.1%
6341
 
< 0.1%
Distinct302
Distinct (%)0.1%
Missing7928
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean-14815.82823
Minimum-999999
Maximum2066
Zeros533321
Zeros (%)96.1%
Negative8106
Negative (%)1.5%
Memory size4.2 MiB
2022-10-26T03:04:45.818231image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2066
Range1002065
Interquartile range (IQR)0

Descriptive statistics

Standard deviation120816.6259
Coefficient of variation (CV)-8.154564429
Kurtosis62.50945239
Mean-14815.82823
Median Absolute Deviation (MAD)0
Skewness-8.031763417
Sum-8105813704
Variance1.459665709 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:46.096449image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0533321
96.1%
-9999998106
 
1.5%
4779
 
0.1%
5492
 
0.1%
6440
 
0.1%
7322
 
0.1%
8269
 
< 0.1%
9258
 
< 0.1%
10216
 
< 0.1%
11180
 
< 0.1%
Other values (292)2722
 
0.5%
(Missing)7928
 
1.4%
ValueCountFrequency (%)
-9999998106
 
1.5%
0533321
96.1%
4779
 
0.1%
5492
 
0.1%
6440
 
0.1%
ValueCountFrequency (%)
20661
< 0.1%
15761
< 0.1%
15301
< 0.1%
14041
< 0.1%
5161
< 0.1%
Distinct275
Distinct (%)0.1%
Missing6755
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean-52117.08851
Minimum-999999
Maximum767
Zeros504285
Zeros (%)90.9%
Negative28575
Negative (%)5.1%
Memory size4.2 MiB
2022-10-26T03:04:46.405714image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum767
Range1000766
Interquartile range (IQR)0

Descriptive statistics

Standard deviation222264.5188
Coefficient of variation (CV)-4.264714801
Kurtosis14.2424557
Mean-52117.08851
Median Absolute Deviation (MAD)0
Skewness-4.030186562
Sum-2.857465306 × 1010
Variance4.940151631 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:46.696042image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0504285
90.9%
-99999928575
 
5.1%
42589
 
0.5%
51720
 
0.3%
61443
 
0.3%
71157
 
0.2%
8831
 
0.1%
9739
 
0.1%
10580
 
0.1%
11484
 
0.1%
Other values (265)5875
 
1.1%
(Missing)6755
 
1.2%
ValueCountFrequency (%)
-99999928575
 
5.1%
0504285
90.9%
42589
 
0.5%
51720
 
0.3%
61443
 
0.3%
ValueCountFrequency (%)
7671
< 0.1%
7581
< 0.1%
7061
< 0.1%
6571
< 0.1%
5681
< 0.1%
Distinct5101
Distinct (%)0.9%
Missing4496
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean-2255.820742
Minimum-999999
Maximum66707
Zeros68271
Zeros (%)12.3%
Negative1518
Negative (%)0.3%
Memory size4.2 MiB
2022-10-26T03:04:46.998684image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q173
median297
Q3728
95-th percentile1633
Maximum66707
Range1066706
Interquartile range (IQR)655

Descriptive statistics

Standard deviation52468.01466
Coefficient of variation (CV)-23.25894681
Kurtosis357.568131
Mean-2255.820742
Median Absolute Deviation (MAD)270
Skewness-18.96076083
Sum-1241912784
Variance2752892562
MonotonicityNot monotonic
2022-10-26T03:04:47.815075image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
068271
 
12.3%
-9999991518
 
0.3%
101238
 
0.2%
141231
 
0.2%
161230
 
0.2%
121228
 
0.2%
151210
 
0.2%
201205
 
0.2%
71186
 
0.2%
131183
 
0.2%
Other values (5091)471037
84.9%
(Missing)4496
 
0.8%
ValueCountFrequency (%)
-9999991518
 
0.3%
068271
12.3%
4581
 
0.1%
5751
 
0.1%
6828
 
0.1%
ValueCountFrequency (%)
667071
< 0.1%
493371
< 0.1%
481501
< 0.1%
468611
< 0.1%
443791
< 0.1%
Distinct61
Distinct (%)< 0.1%
Missing83468
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean-62322.10779
Minimum-999999
Maximum155
Zeros435831
Zeros (%)78.5%
Negative29389
Negative (%)5.3%
Memory size4.2 MiB
2022-10-26T03:04:48.127142image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile0
Maximum155
Range1000154
Interquartile range (IQR)0

Descriptive statistics

Standard deviation241739.9874
Coefficient of variation (CV)-3.878880159
Kurtosis11.11222435
Mean-62322.10779
Median Absolute Deviation (MAD)0
Skewness-3.621074042
Sum-2.938892476 × 1010
Variance5.843822151 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:48.324328image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0435831
78.5%
-99999929389
 
5.3%
42046
 
0.4%
51176
 
0.2%
6790
 
0.1%
7784
 
0.1%
8340
 
0.1%
9225
 
< 0.1%
10192
 
< 0.1%
11128
 
< 0.1%
Other values (51)664
 
0.1%
(Missing)83468
 
15.0%
ValueCountFrequency (%)
-99999929389
 
5.3%
0435831
78.5%
42046
 
0.4%
51176
 
0.2%
6790
 
0.1%
ValueCountFrequency (%)
1551
< 0.1%
1341
< 0.1%
1131
< 0.1%
1071
< 0.1%
941
< 0.1%

geocoded_hospital_address
Categorical

HIGH CARDINALITY
MISSING

Distinct4636
Distinct (%)0.9%
Missing40500
Missing (%)7.3%
Memory size4.2 MiB
POINT (-118.185097 33.807214)
 
231
POINT (-84.25126 39.63982)
 
222
POINT (-90.82752 32.374286)
 
222
POINT (-82.783561 28.014265)
 
222
POINT (-99.73118 32.472136)
 
222
Other values (4631)
513414 

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st rowPOINT (-118.359984 34.057547)
2nd rowPOINT (-84.420098 39.253934)
3rd rowPOINT (-124.092986 40.896872)
4th rowPOINT (-83.592106 30.121247)
5th rowPOINT (-84.030122 32.295076)

Common Values

ValueCountFrequency (%)
POINT (-118.185097 33.807214)231
 
< 0.1%
POINT (-84.25126 39.63982)222
 
< 0.1%
POINT (-90.82752 32.374286)222
 
< 0.1%
POINT (-82.783561 28.014265)222
 
< 0.1%
POINT (-99.73118 32.472136)222
 
< 0.1%
POINT (-75.868165 41.258261)222
 
< 0.1%
POINT (-117.261122 34.049486)222
 
< 0.1%
POINT (-86.77661 33.46349)222
 
< 0.1%
POINT (-98.492305 29.433174)222
 
< 0.1%
POINT (-81.1093 29.24275)222
 
< 0.1%
Other values (4626)512304
92.3%
(Missing)40500
 
7.3%

hhs_ids
Categorical

HIGH CARDINALITY

Distinct5044
Distinct (%)0.9%
Missing1922
Missing (%)0.3%
Memory size4.2 MiB
[C050515-A]
 
222
[C370015-A]
 
111
[C360118-A]
 
111
[C140242-A]
 
111
[C080003-A]
 
111
Other values (5039)
552445 

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row[C050742-A]
2nd row[C360362-A]
3rd row[C050028-A]
4th row[C100106-A]
5th row[C110190-A]

Common Values

ValueCountFrequency (%)
[C050515-A]222
 
< 0.1%
[C370015-A]111
 
< 0.1%
[C360118-A]111
 
< 0.1%
[C140242-A]111
 
< 0.1%
[C080003-A]111
 
< 0.1%
[C230081-A]111
 
< 0.1%
[C151317-A]111
 
< 0.1%
[C050767-A]111
 
< 0.1%
[C110078-A]111
 
< 0.1%
[C450475-A]111
 
< 0.1%
Other values (5034)551890
99.4%
(Missing)1922
 
0.3%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.906392953
Minimum0
Maximum7
Zeros1446
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:48.534366image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6061960655
Coefficient of variation (CV)0.08777317908
Kurtosis77.72046092
Mean6.906392953
Median Absolute Deviation (MAD)0
Skewness-8.377751576
Sum3833276
Variance0.3674736698
MonotonicityNot monotonic
2022-10-26T03:04:48.669482image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534464
96.3%
69294
 
1.7%
54201
 
0.8%
42103
 
0.4%
11496
 
0.3%
01446
 
0.3%
31293
 
0.2%
2736
 
0.1%
ValueCountFrequency (%)
01446
0.3%
11496
0.3%
2736
 
0.1%
31293
0.2%
42103
0.4%
ValueCountFrequency (%)
7534464
96.3%
69294
 
1.7%
54201
 
0.8%
42103
 
0.4%
31293
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.834047705
Minimum0
Maximum7
Zeros6976
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:48.862448image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9214560838
Coefficient of variation (CV)0.134833136
Kurtosis41.87864318
Mean6.834047705
Median Absolute Deviation (MAD)0
Skewness-6.414468778
Sum3793122
Variance0.8490813144
MonotonicityNot monotonic
2022-10-26T03:04:49.099635image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7528640
95.2%
69245
 
1.7%
06976
 
1.3%
54192
 
0.8%
42215
 
0.4%
11527
 
0.3%
31349
 
0.2%
2889
 
0.2%
ValueCountFrequency (%)
06976
1.3%
11527
 
0.3%
2889
 
0.2%
31349
 
0.2%
42215
 
0.4%
ValueCountFrequency (%)
7528640
95.2%
69245
 
1.7%
54192
 
0.8%
42215
 
0.4%
31349
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.90480566
Minimum0
Maximum7
Zeros1528
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:49.310247image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6141547211
Coefficient of variation (CV)0.08894598217
Kurtosis76.38421008
Mean6.90480566
Median Absolute Deviation (MAD)0
Skewness-8.316210629
Sum3832395
Variance0.3771860215
MonotonicityNot monotonic
2022-10-26T03:04:49.531614image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7534342
96.3%
69222
 
1.7%
54277
 
0.8%
42075
 
0.4%
01528
 
0.3%
11516
 
0.3%
31322
 
0.2%
2751
 
0.1%
ValueCountFrequency (%)
01528
0.3%
11516
0.3%
2751
 
0.1%
31322
0.2%
42075
0.4%
ValueCountFrequency (%)
7534342
96.3%
69222
 
1.7%
54277
 
0.8%
42075
 
0.4%
31322
 
0.2%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.837043924
Minimum0
Maximum7
Zeros6755
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:49.758029image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9119157775
Coefficient of variation (CV)0.133378663
Kurtosis42.66184151
Mean6.837043924
Median Absolute Deviation (MAD)0
Skewness-6.469298593
Sum3794785
Variance0.8315903853
MonotonicityNot monotonic
2022-10-26T03:04:49.970974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7529070
95.3%
69090
 
1.6%
06755
 
1.2%
54081
 
0.7%
42205
 
0.4%
11519
 
0.3%
31385
 
0.2%
2928
 
0.2%
ValueCountFrequency (%)
06755
1.2%
11519
 
0.3%
2928
 
0.2%
31385
 
0.2%
42205
 
0.4%
ValueCountFrequency (%)
7529070
95.3%
69090
 
1.6%
54081
 
0.7%
42205
 
0.4%
31385
 
0.2%
Distinct2181
Distinct (%)0.9%
Missing306172
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean-84090.4335
Minimum-999999
Maximum539270
Zeros166443
Zeros (%)30.0%
Negative20941
Negative (%)3.8%
Memory size4.2 MiB
2022-10-26T03:04:50.294091image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile129
Maximum539270
Range1539269
Interquartile range (IQR)0

Descriptive statistics

Standard deviation277630.7147
Coefficient of variation (CV)-3.301573118
Kurtosis6.975501748
Mean-84090.4335
Median Absolute Deviation (MAD)0
Skewness-2.99574953
Sum-2.092682937 × 1010
Variance7.707881376 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:50.676942image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166443
30.0%
-99999920941
 
3.8%
43873
 
0.7%
53270
 
0.6%
62639
 
0.5%
102372
 
0.4%
72012
 
0.4%
81837
 
0.3%
91666
 
0.3%
121319
 
0.2%
Other values (2171)42489
 
7.7%
(Missing)306172
55.2%
ValueCountFrequency (%)
-99999920941
 
3.8%
0166443
30.0%
43873
 
0.7%
53270
 
0.6%
62639
 
0.5%
ValueCountFrequency (%)
5392701
< 0.1%
5200371
< 0.1%
728361
< 0.1%
501001
< 0.1%
471601
< 0.1%
Distinct5524
Distinct (%)2.2%
Missing309072
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean-13897.69414
Minimum-999999
Maximum520037
Zeros65309
Zeros (%)11.8%
Negative3496
Negative (%)0.6%
Memory size4.2 MiB
2022-10-26T03:04:50.942971image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median58
Q3216
95-th percentile1330
Maximum520037
Range1520036
Interquartile range (IQR)216

Descriptive statistics

Standard deviation118418.7791
Coefficient of variation (CV)-8.520750124
Kurtosis65.34932244
Mean-13897.69414
Median Absolute Deviation (MAD)58
Skewness-8.205371118
Sum-3418290749
Variance1.402300724 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:51.237601image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
065309
 
11.8%
-9999993496
 
0.6%
301368
 
0.2%
101299
 
0.2%
231204
 
0.2%
171197
 
0.2%
241186
 
0.2%
261160
 
0.2%
251158
 
0.2%
201156
 
0.2%
Other values (5514)167428
30.2%
(Missing)309072
55.7%
ValueCountFrequency (%)
-9999993496
 
0.6%
065309
11.8%
4941
 
0.2%
5877
 
0.2%
61125
 
0.2%
ValueCountFrequency (%)
5200371
 
< 0.1%
2842831
 
< 0.1%
699124
< 0.1%
394411
 
< 0.1%
323681
 
< 0.1%
Distinct6921
Distinct (%)2.8%
Missing308747
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean-74064.20105
Minimum-999999
Maximum520037
Zeros86108
Zeros (%)15.5%
Negative18348
Negative (%)3.3%
Memory size4.2 MiB
2022-10-26T03:04:51.517840image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median11
Q3177
95-th percentile2025
Maximum520037
Range1520036
Interquartile range (IQR)177

Descriptive statistics

Standard deviation262712.2095
Coefficient of variation (CV)-3.547087605
Kurtosis8.50249456
Mean-74064.20105
Median Absolute Deviation (MAD)19
Skewness-3.240559327
Sum-1.824097582 × 1010
Variance6.901770504 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:51.751169image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
086108
 
15.5%
-99999918348
 
3.3%
44020
 
0.7%
53266
 
0.6%
62460
 
0.4%
72176
 
0.4%
82014
 
0.4%
101922
 
0.3%
91668
 
0.3%
121616
 
0.3%
Other values (6911)122688
 
22.1%
(Missing)308747
55.6%
ValueCountFrequency (%)
-99999918348
 
3.3%
086108
15.5%
44020
 
0.7%
53266
 
0.6%
62460
 
0.4%
ValueCountFrequency (%)
5200371
< 0.1%
1921891
< 0.1%
405611
< 0.1%
395651
< 0.1%
387531
< 0.1%
Distinct9370
Distinct (%)3.8%
Missing308333
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean-3727.906376
Minimum-999999
Maximum520037
Zeros57479
Zeros (%)10.4%
Negative1119
Negative (%)0.2%
Memory size4.2 MiB
2022-10-26T03:04:52.034127image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q119
median164
Q3643
95-th percentile3641
Maximum520037
Range1520036
Interquartile range (IQR)624

Descriptive statistics

Standard deviation67293.01175
Coefficient of variation (CV)-18.05115391
Kurtosis214.9382486
Mean-3727.906376
Median Absolute Deviation (MAD)164
Skewness-14.71671022
Sum-919674503
Variance4528349431
MonotonicityNot monotonic
2022-10-26T03:04:52.319060image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
057479
 
10.4%
-9999991119
 
0.2%
80781
 
0.1%
100743
 
0.1%
50724
 
0.1%
110700
 
0.1%
47643
 
0.1%
115633
 
0.1%
90601
 
0.1%
75601
 
0.1%
Other values (9360)182676
32.9%
(Missing)308333
55.6%
ValueCountFrequency (%)
-9999991119
 
0.2%
057479
10.4%
4130
 
< 0.1%
5187
 
< 0.1%
6206
 
< 0.1%
ValueCountFrequency (%)
5200371
< 0.1%
685651
< 0.1%
420102
< 0.1%
411591
< 0.1%
404791
< 0.1%
Distinct3292
Distinct (%)1.3%
Missing307372
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean-53052.21101
Minimum-999999
Maximum520037
Zeros183420
Zeros (%)33.0%
Negative13171
Negative (%)2.4%
Memory size4.2 MiB
2022-10-26T03:04:52.571182image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile240
Maximum520037
Range1520036
Interquartile range (IQR)0

Descriptive statistics

Standard deviation224433.3697
Coefficient of variation (CV)-4.230424433
Kurtosis13.85805857
Mean-53052.21101
Median Absolute Deviation (MAD)0
Skewness-3.981955564
Sum-1.313896363 × 1010
Variance5.037033743 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:52.847730image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0183420
33.0%
-99999913171
 
2.4%
42197
 
0.4%
51980
 
0.4%
61575
 
0.3%
71481
 
0.3%
81464
 
0.3%
101343
 
0.2%
91064
 
0.2%
12844
 
0.2%
Other values (3282)39122
 
7.0%
(Missing)307372
55.4%
ValueCountFrequency (%)
-99999913171
 
2.4%
0183420
33.0%
42197
 
0.4%
51980
 
0.4%
61575
 
0.3%
ValueCountFrequency (%)
5200371
< 0.1%
3093041
< 0.1%
1227701
< 0.1%
935731
< 0.1%
899731
< 0.1%
Distinct3493
Distinct (%)1.4%
Missing307480
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean-44824.26713
Minimum-999999
Maximum520037
Zeros185160
Zeros (%)33.4%
Negative11128
Negative (%)2.0%
Memory size4.2 MiB
2022-10-26T03:04:53.096750image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile250
Maximum520037
Range1520036
Interquartile range (IQR)0

Descriptive statistics

Standard deviation207233.3873
Coefficient of variation (CV)-4.623240948
Kurtosis17.29099051
Mean-44824.26713
Median Absolute Deviation (MAD)0
Skewness-4.391867189
Sum-1.10963818 × 1010
Variance4.294567679 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:53.362617image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0185160
33.4%
-99999911128
 
2.0%
42028
 
0.4%
51851
 
0.3%
61529
 
0.3%
81354
 
0.2%
101317
 
0.2%
71245
 
0.2%
9972
 
0.2%
11853
 
0.2%
Other values (3483)40116
 
7.2%
(Missing)307480
55.4%
ValueCountFrequency (%)
-99999911128
 
2.0%
0185160
33.4%
42028
 
0.4%
51851
 
0.3%
61529
 
0.3%
ValueCountFrequency (%)
5200371
< 0.1%
855821
< 0.1%
837091
< 0.1%
595331
< 0.1%
586411
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size542.1 KiB
False
541555 
True
 
13478
ValueCountFrequency (%)
False541555
97.6%
True13478
 
2.4%
2022-10-26T03:04:53.554749image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Distinct2905
Distinct (%)0.7%
Missing124247
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean-135489.5
Minimum-999999
Maximum1319.9
Zeros296239
Zeros (%)53.4%
Negative58370
Negative (%)10.5%
Memory size4.2 MiB
2022-10-26T03:04:53.742284image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q30
95-th percentile34
Maximum1319.9
Range1001318.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation342255.9105
Coefficient of variation (CV)-2.526069625
Kurtosis2.537040463
Mean-135489.5
Median Absolute Deviation (MAD)0
Skewness-2.130030192
Sum-5.836697976 × 1010
Variance1.171391083 × 1011
MonotonicityNot monotonic
2022-10-26T03:04:53.908711image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0296239
53.4%
-99999958370
 
10.5%
41359
 
0.2%
51000
 
0.2%
4.3974
 
0.2%
4.4892
 
0.2%
6888
 
0.2%
4.1872
 
0.2%
4.7857
 
0.2%
4.6849
 
0.2%
Other values (2895)68486
 
12.3%
(Missing)124247
22.4%
ValueCountFrequency (%)
-99999958370
 
10.5%
0296239
53.4%
41359
 
0.2%
4.1872
 
0.2%
4.227
 
< 0.1%
ValueCountFrequency (%)
1319.91
< 0.1%
1234.31
< 0.1%
877.71
< 0.1%
694.71
< 0.1%
687.71
< 0.1%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.172139314
Minimum0
Maximum7
Zeros124247
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:54.134246image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.971671567
Coefficient of variation (CV)0.5745536589
Kurtosis-0.7580966722
Mean5.172139314
Median Absolute Deviation (MAD)0
Skewness-1.083640985
Sum2870708
Variance8.830831904
MonotonicityNot monotonic
2022-10-26T03:04:54.331289image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7390387
70.3%
0124247
 
22.4%
19806
 
1.8%
69239
 
1.7%
26581
 
1.2%
55748
 
1.0%
35243
 
0.9%
43782
 
0.7%
ValueCountFrequency (%)
0124247
22.4%
19806
 
1.8%
26581
 
1.2%
35243
 
0.9%
43782
 
0.7%
ValueCountFrequency (%)
7390387
70.3%
69239
 
1.7%
55748
 
1.0%
43782
 
0.7%
35243
 
0.9%
Distinct2528
Distinct (%)0.6%
Missing124247
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean-42809.46854
Minimum-999999
Maximum9239
Zeros296239
Zeros (%)53.4%
Negative18462
Negative (%)3.3%
Memory size4.2 MiB
2022-10-26T03:04:54.580460image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q36
95-th percentile224
Maximum9239
Range1009238
Interquartile range (IQR)6

Descriptive statistics

Standard deviation202543.6946
Coefficient of variation (CV)-4.731282623
Kurtosis18.37861853
Mean-42809.46854
Median Absolute Deviation (MAD)0
Skewness-4.514256165
Sum-1.844171971 × 1010
Variance4.102394822 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:54.860403image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0296239
53.4%
-99999918462
 
3.3%
43588
 
0.6%
52931
 
0.5%
72725
 
0.5%
62689
 
0.5%
82285
 
0.4%
92122
 
0.4%
101993
 
0.4%
121848
 
0.3%
Other values (2518)95904
 
17.3%
(Missing)124247
22.4%
ValueCountFrequency (%)
-99999918462
 
3.3%
0296239
53.4%
43588
 
0.6%
52931
 
0.5%
62689
 
0.5%
ValueCountFrequency (%)
92391
< 0.1%
86401
< 0.1%
61441
< 0.1%
48631
< 0.1%
48141
< 0.1%

all_pediatric_inpatient_beds_7_day_avg
Real number (ℝ)

MISSING
ZEROS

Distinct2523
Distinct (%)0.6%
Missing126459
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean-64754.57426
Minimum-999999
Maximum1547.1
Zeros293562
Zeros (%)52.9%
Negative27757
Negative (%)5.0%
Memory size4.2 MiB
2022-10-26T03:04:55.154700image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile-999999
Q10
median0
Q34
95-th percentile59
Maximum1547.1
Range1001546.1
Interquartile range (IQR)4

Descriptive statistics

Standard deviation246115.4272
Coefficient of variation (CV)-3.800741956
Kurtosis10.50960019
Mean-64754.57426
Median Absolute Deviation (MAD)0
Skewness-3.536884317
Sum-2.775212691 × 1010
Variance6.057280352 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:55.489846image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0293562
52.9%
-99999927757
 
5.0%
44869
 
0.9%
64817
 
0.9%
103894
 
0.7%
83779
 
0.7%
123487
 
0.6%
53447
 
0.6%
201913
 
0.3%
161907
 
0.3%
Other values (2513)79142
 
14.3%
(Missing)126459
22.8%
ValueCountFrequency (%)
-99999927757
 
5.0%
0293562
52.9%
44869
 
0.9%
4.1250
 
< 0.1%
4.215
 
< 0.1%
ValueCountFrequency (%)
1547.11
 
< 0.1%
15421
 
< 0.1%
90114
< 0.1%
760.31
 
< 0.1%
752.41
 
< 0.1%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.150881119
Minimum0
Maximum7
Zeros126459
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:55.753372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.986739206
Coefficient of variation (CV)0.5798501532
Kurtosis-0.7998684079
Mean5.150881119
Median Absolute Deviation (MAD)0
Skewness-1.065689369
Sum2858909
Variance8.920611085
MonotonicityNot monotonic
2022-10-26T03:04:55.922123image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7389408
70.2%
0126459
 
22.8%
19579
 
1.7%
68891
 
1.6%
26494
 
1.2%
55473
 
1.0%
35141
 
0.9%
43588
 
0.6%
ValueCountFrequency (%)
0126459
22.8%
19579
 
1.7%
26494
 
1.2%
35141
 
0.9%
43588
 
0.6%
ValueCountFrequency (%)
7389408
70.2%
68891
 
1.6%
55473
 
1.0%
43588
 
0.6%
35141
 
0.9%

all_pediatric_inpatient_beds_7_day_sum
Real number (ℝ)

MISSING
ZEROS

Distinct2302
Distinct (%)0.5%
Missing126459
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean-16751.83289
Minimum-999999
Maximum10830
Zeros293562
Zeros (%)52.9%
Negative7212
Negative (%)1.3%
Memory size4.2 MiB
2022-10-26T03:04:56.212482image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q322
95-th percentile385
Maximum10830
Range1010829
Interquartile range (IQR)22

Descriptive statistics

Standard deviation128636.5658
Coefficient of variation (CV)-7.678954691
Kurtosis54.44233435
Mean-16751.83289
Median Absolute Deviation (MAD)0
Skewness-7.512774884
Sum-7179400031
Variance1.654736606 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:56.515806image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0293562
52.9%
-9999997212
 
1.3%
284471
 
0.8%
424467
 
0.8%
703657
 
0.7%
563486
 
0.6%
143332
 
0.6%
353176
 
0.6%
843174
 
0.6%
73091
 
0.6%
Other values (2292)98946
 
17.8%
(Missing)126459
22.8%
ValueCountFrequency (%)
-9999997212
 
1.3%
0293562
52.9%
41552
 
0.3%
51165
 
0.2%
61363
 
0.2%
ValueCountFrequency (%)
108301
 
< 0.1%
630712
< 0.1%
54061
 
< 0.1%
53221
 
< 0.1%
52671
 
< 0.1%
Distinct36
Distinct (%)< 0.1%
Missing384454
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean-45204.70918
Minimum-999999
Maximum40
Zeros160504
Zeros (%)28.9%
Negative7711
Negative (%)1.4%
Memory size4.2 MiB
2022-10-26T03:04:56.838820image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40
Range1000039
Interquartile range (IQR)0

Descriptive statistics

Standard deviation207753.5992
Coefficient of variation (CV)-4.595839746
Kurtosis17.16939825
Mean-45204.70918
Median Absolute Deviation (MAD)0
Skewness-4.378264147
Sum-7710974088
Variance4.316155798 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:57.159823image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0160504
28.9%
-9999997711
 
1.4%
4627
 
0.1%
5401
 
0.1%
6291
 
0.1%
7249
 
< 0.1%
8157
 
< 0.1%
9121
 
< 0.1%
1097
 
< 0.1%
1169
 
< 0.1%
Other values (26)352
 
0.1%
(Missing)384454
69.3%
ValueCountFrequency (%)
-9999997711
 
1.4%
0160504
28.9%
4627
 
0.1%
5401
 
0.1%
6291
 
0.1%
ValueCountFrequency (%)
402
< 0.1%
371
 
< 0.1%
361
 
< 0.1%
351
 
< 0.1%
343
< 0.1%
Distinct31
Distinct (%)< 0.1%
Missing392324
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean-35222.31998
Minimum-999999
Maximum90
Zeros156181
Zeros (%)28.1%
Negative5731
Negative (%)1.0%
Memory size4.2 MiB
2022-10-26T03:04:57.430565image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90
Range1000089
Interquartile range (IQR)0

Descriptive statistics

Standard deviation184341.8495
Coefficient of variation (CV)-5.233665744
Kurtosis23.42829635
Mean-35222.31998
Median Absolute Deviation (MAD)0
Skewness-5.042619197
Sum-5730988461
Variance3.398191748 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:57.716743image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0156181
 
28.1%
-9999995731
 
1.0%
4285
 
0.1%
5149
 
< 0.1%
6100
 
< 0.1%
766
 
< 0.1%
838
 
< 0.1%
924
 
< 0.1%
1020
 
< 0.1%
1118
 
< 0.1%
Other values (21)97
 
< 0.1%
(Missing)392324
70.7%
ValueCountFrequency (%)
-9999995731
 
1.0%
0156181
28.1%
4285
 
0.1%
5149
 
< 0.1%
6100
 
< 0.1%
ValueCountFrequency (%)
901
 
< 0.1%
661
 
< 0.1%
401
 
< 0.1%
372
 
< 0.1%
315
< 0.1%
Distinct39
Distinct (%)< 0.1%
Missing392278
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean-27802.46598
Minimum-999999
Maximum99
Zeros157574
Zeros (%)28.4%
Negative4525
Negative (%)0.8%
Memory size4.2 MiB
2022-10-26T03:04:58.023499image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99
Range1000098
Interquartile range (IQR)0

Descriptive statistics

Standard deviation164406.9908
Coefficient of variation (CV)-5.913395988
Kurtosis30.99754254
Mean-27802.46598
Median Absolute Deviation (MAD)0
Skewness-5.744315593
Sum-4524990351
Variance2.702965862 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:58.295364image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0157574
28.4%
-9999994525
 
0.8%
4225
 
< 0.1%
5114
 
< 0.1%
679
 
< 0.1%
759
 
< 0.1%
834
 
< 0.1%
923
 
< 0.1%
1019
 
< 0.1%
1417
 
< 0.1%
Other values (29)86
 
< 0.1%
(Missing)392278
70.7%
ValueCountFrequency (%)
-9999994525
 
0.8%
0157574
28.4%
4225
 
< 0.1%
5114
 
< 0.1%
679
 
< 0.1%
ValueCountFrequency (%)
991
< 0.1%
591
< 0.1%
511
< 0.1%
501
< 0.1%
471
< 0.1%
Distinct67
Distinct (%)< 0.1%
Missing386002
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean-11098.48504
Minimum-999999
Maximum141
Zeros166367
Zeros (%)30.0%
Negative1876
Negative (%)0.3%
Memory size4.2 MiB
2022-10-26T03:04:58.613518image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range1000140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation104763.6495
Coefficient of variation (CV)-9.439454943
Kurtosis85.11558868
Mean-11098.48504
Median Absolute Deviation (MAD)0
Skewness-9.333519249
Sum-1875988025
Variance1.097542225 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:58.956326image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166367
30.0%
-9999991876
 
0.3%
4135
 
< 0.1%
5102
 
< 0.1%
782
 
< 0.1%
670
 
< 0.1%
854
 
< 0.1%
938
 
< 0.1%
1231
 
< 0.1%
1029
 
< 0.1%
Other values (57)247
 
< 0.1%
(Missing)386002
69.5%
ValueCountFrequency (%)
-9999991876
 
0.3%
0166367
30.0%
4135
 
< 0.1%
5102
 
< 0.1%
670
 
< 0.1%
ValueCountFrequency (%)
1411
< 0.1%
1131
< 0.1%
1101
< 0.1%
901
< 0.1%
831
< 0.1%
Distinct84
Distinct (%)< 0.1%
Missing346618
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean-36652.78273
Minimum-999999
Maximum44
Zeros200379
Zeros (%)36.1%
Negative7639
Negative (%)1.4%
Memory size4.2 MiB
2022-10-26T03:04:59.237100image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44
Range1000043
Interquartile range (IQR)0

Descriptive statistics

Standard deviation187908.2269
Coefficient of variation (CV)-5.126711067
Kurtosis22.32163301
Mean-36652.78273
Median Absolute Deviation (MAD)0
Skewness-4.931675051
Sum-7638989713
Variance3.530950172 × 1010
MonotonicityNot monotonic
2022-10-26T03:04:59.567521image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0200379
36.1%
-9999997639
 
1.4%
442
 
< 0.1%
4.324
 
< 0.1%
4.121
 
< 0.1%
4.717
 
< 0.1%
4.914
 
< 0.1%
5.314
 
< 0.1%
4.613
 
< 0.1%
5.713
 
< 0.1%
Other values (74)239
 
< 0.1%
(Missing)346618
62.4%
ValueCountFrequency (%)
-9999997639
 
1.4%
0200379
36.1%
442
 
< 0.1%
4.121
 
< 0.1%
4.22
 
< 0.1%
ValueCountFrequency (%)
441
< 0.1%
19.51
< 0.1%
19.11
< 0.1%
18.61
< 0.1%
17.81
< 0.1%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.519709639
Minimum0
Maximum7
Zeros346618
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:04:59.829139image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.311299727
Coefficient of variation (CV)1.314159249
Kurtosis-1.636833391
Mean2.519709639
Median Absolute Deviation (MAD)0
Skewness0.5810043503
Sum1398522
Variance10.96470588
MonotonicityNot monotonic
2022-10-26T03:05:00.045310image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0346618
62.4%
7188731
34.0%
65557
 
1.0%
33533
 
0.6%
23154
 
0.6%
52832
 
0.5%
42796
 
0.5%
11812
 
0.3%
ValueCountFrequency (%)
0346618
62.4%
11812
 
0.3%
23154
 
0.6%
33533
 
0.6%
42796
 
0.5%
ValueCountFrequency (%)
7188731
34.0%
65557
 
1.0%
52832
 
0.5%
42796
 
0.5%
33533
 
0.6%
Distinct95
Distinct (%)< 0.1%
Missing346618
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean-18616.43367
Minimum-999999
Maximum134
Zeros200379
Zeros (%)36.1%
Negative3880
Negative (%)0.7%
Memory size4.2 MiB
2022-10-26T03:05:00.276046image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum134
Range1000133
Interquartile range (IQR)0

Descriptive statistics

Standard deviation135167.2338
Coefficient of variation (CV)-7.260640579
Kurtosis48.73537398
Mean-18616.43367
Median Absolute Deviation (MAD)0
Skewness-7.122843975
Sum-3879944024
Variance1.827018109 × 1010
MonotonicityNot monotonic
2022-10-26T03:05:00.632784image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0200379
36.1%
-9999993880
 
0.7%
4550
 
0.1%
7528
 
0.1%
5419
 
0.1%
6368
 
0.1%
8286
 
0.1%
9254
 
< 0.1%
10194
 
< 0.1%
11148
 
< 0.1%
Other values (85)1409
 
0.3%
(Missing)346618
62.4%
ValueCountFrequency (%)
-9999993880
 
0.7%
0200379
36.1%
4550
 
0.1%
5419
 
0.1%
6368
 
0.1%
ValueCountFrequency (%)
1341
< 0.1%
1321
< 0.1%
1301
< 0.1%
1151
< 0.1%
1092
< 0.1%
Distinct1414
Distinct (%)0.3%
Missing126023
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean-49035.91525
Minimum-999999
Maximum237.9
Zeros364745
Zeros (%)65.7%
Negative21040
Negative (%)3.8%
Memory size4.2 MiB
2022-10-26T03:05:00.930709image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile14.1
Maximum237.9
Range1000236.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation215949.0073
Coefficient of variation (CV)-4.4038947
Kurtosis15.44390868
Mean-49035.91525
Median Absolute Deviation (MAD)0
Skewness-4.17658193
Sum-2.1036898 × 1010
Variance4.663397374 × 1010
MonotonicityNot monotonic
2022-10-26T03:05:01.232147image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0364745
65.7%
-99999921038
 
3.8%
4656
 
0.1%
5595
 
0.1%
6523
 
0.1%
4.3509
 
0.1%
4.4491
 
0.1%
4.1487
 
0.1%
4.6436
 
0.1%
4.7429
 
0.1%
Other values (1404)39101
 
7.0%
(Missing)126023
 
22.7%
ValueCountFrequency (%)
-99999921038
 
3.8%
-81
 
< 0.1%
-4.81
 
< 0.1%
0364745
65.7%
4656
 
0.1%
ValueCountFrequency (%)
237.91
< 0.1%
237.11
< 0.1%
2371
< 0.1%
236.71
< 0.1%
236.61
< 0.1%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.156033966
Minimum0
Maximum7
Zeros126023
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:05:01.443417image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9834583
Coefficient of variation (CV)0.5786343379
Kurtosis-0.7899029144
Mean5.156033966
Median Absolute Deviation (MAD)0
Skewness-1.070120198
Sum2861769
Variance8.901023426
MonotonicityNot monotonic
2022-10-26T03:05:01.662261image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7389660
70.2%
0126023
 
22.7%
19549
 
1.7%
69038
 
1.6%
26469
 
1.2%
55544
 
1.0%
35286
 
1.0%
43464
 
0.6%
ValueCountFrequency (%)
0126023
22.7%
19549
 
1.7%
26469
 
1.2%
35286
 
1.0%
43464
 
0.6%
ValueCountFrequency (%)
7389660
70.2%
69038
 
1.6%
55544
 
1.0%
43464
 
0.6%
35286
 
1.0%
Distinct1214
Distinct (%)0.3%
Missing126023
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean-12306.23425
Minimum-999999
Maximum1665
Zeros364745
Zeros (%)65.7%
Negative5289
Negative (%)1.0%
Memory size4.2 MiB
2022-10-26T03:05:02.751760image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile94
Maximum1665
Range1001664
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110328.0978
Coefficient of variation (CV)-8.965220032
Kurtosis76.15761116
Mean-12306.23425
Median Absolute Deviation (MAD)0
Skewness-8.840656784
Sum-5279497555
Variance1.217228916 × 1010
MonotonicityNot monotonic
2022-10-26T03:05:03.083604image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0364745
65.7%
-9999995287
 
1.0%
4996
 
0.2%
7968
 
0.2%
5855
 
0.2%
6844
 
0.2%
8792
 
0.1%
14774
 
0.1%
12744
 
0.1%
10743
 
0.1%
Other values (1204)52262
 
9.4%
(Missing)126023
 
22.7%
ValueCountFrequency (%)
-9999995287
 
1.0%
-191
 
< 0.1%
-161
 
< 0.1%
0364745
65.7%
4996
 
0.2%
ValueCountFrequency (%)
16651
< 0.1%
16601
< 0.1%
16591
< 0.1%
16571
< 0.1%
16561
< 0.1%

total_staffed_pediatric_icu_beds_7_day_avg
Real number (ℝ)

MISSING
ZEROS

Distinct1217
Distinct (%)0.3%
Missing127108
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean-18309.92373
Minimum-999999
Maximum651
Zeros361512
Zeros (%)65.1%
Negative7837
Negative (%)1.4%
Memory size4.2 MiB
2022-10-26T03:05:03.413882image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile24
Maximum651
Range1000650
Interquartile range (IQR)0

Descriptive statistics

Standard deviation134084.7092
Coefficient of variation (CV)-7.323062137
Kurtosis49.62241234
Mean-18309.92373
Median Absolute Deviation (MAD)0
Skewness-7.184857659
Sum-7835274114
Variance1.797870925 × 1010
MonotonicityNot monotonic
2022-10-26T03:05:03.687001image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0361512
65.1%
-9999997837
 
1.4%
63044
 
0.5%
102607
 
0.5%
82458
 
0.4%
42186
 
0.4%
51960
 
0.4%
121938
 
0.3%
201591
 
0.3%
161220
 
0.2%
Other values (1207)41572
 
7.5%
(Missing)127108
 
22.9%
ValueCountFrequency (%)
-9999997837
 
1.4%
0361512
65.1%
42186
 
0.4%
4.1142
 
< 0.1%
4.27
 
< 0.1%
ValueCountFrequency (%)
6511
 
< 0.1%
32055
< 0.1%
292.11
 
< 0.1%
283.42
 
< 0.1%
260.41
 
< 0.1%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.144526542
Minimum0
Maximum7
Zeros127108
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size4.2 MiB
2022-10-26T03:05:03.961988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.991407262
Coefficient of variation (CV)0.5814737737
Kurtosis-0.8128930384
Mean5.144526542
Median Absolute Deviation (MAD)0
Skewness-1.060045529
Sum2855382
Variance8.948517409
MonotonicityNot monotonic
2022-10-26T03:05:04.169306image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7389250
70.1%
0127108
 
22.9%
19478
 
1.7%
68698
 
1.6%
26545
 
1.2%
55291
 
1.0%
35231
 
0.9%
43432
 
0.6%
ValueCountFrequency (%)
0127108
22.9%
19478
 
1.7%
26545
 
1.2%
35231
 
0.9%
43432
 
0.6%
ValueCountFrequency (%)
7389250
70.1%
68698
 
1.6%
55291
 
1.0%
43432
 
0.6%
35231
 
0.9%

total_staffed_pediatric_icu_beds_7_day_sum
Real number (ℝ)

MISSING
ZEROS

Distinct1098
Distinct (%)0.3%
Missing127108
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean-3943.165155
Minimum-999999
Maximum2604
Zeros361512
Zeros (%)65.1%
Negative1699
Negative (%)0.3%
Memory size4.2 MiB
2022-10-26T03:05:04.476111image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-999999
5-th percentile0
Q10
median0
Q30
95-th percentile156
Maximum2604
Range1002603
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62887.10388
Coefficient of variation (CV)-15.94838192
Kurtosis246.8740589
Mean-3943.165155
Median Absolute Deviation (MAD)0
Skewness-15.77568091
Sum-1687378949
Variance3954787834
MonotonicityNot monotonic
2022-10-26T03:05:04.811342image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0361512
65.1%
422880
 
0.5%
702454
 
0.4%
562246
 
0.4%
282056
 
0.4%
351879
 
0.3%
841791
 
0.3%
-9999991699
 
0.3%
1401454
 
0.3%
141169
 
0.2%
Other values (1088)48785
 
8.8%
(Missing)127108
 
22.9%
ValueCountFrequency (%)
-9999991699
 
0.3%
0361512
65.1%
4406
 
0.1%
5256
 
< 0.1%
6361
 
0.1%
ValueCountFrequency (%)
26041
 
< 0.1%
224055
< 0.1%
20451
 
< 0.1%
19842
 
< 0.1%
18231
 
< 0.1%